Azure Data Studio Vs Sql Server Management

  azure data studio vs sql server management: SQL Server 2019 Revealed Bob Ward, 2019-10-18 Get up to speed on the game-changing developments in SQL Server 2019. No longer just a database engine, SQL Server 2019 is cutting edge with support for machine learning (ML), big data analytics, Linux, containers, Kubernetes, Java, and data virtualization to Azure. This is not a book on traditional database administration for SQL Server. It focuses on all that is new for one of the most successful modernized data platforms in the industry. It is a book for data professionals who already know the fundamentals of SQL Server and want to up their game by building their skills in some of the hottest new areas in technology. SQL Server 2019 Revealed begins with a look at the project's team goal to integrate the world of big data with SQL Server into a major product release. The book then dives into the details of key new capabilities in SQL Server 2019 using a “learn by example” approach for Intelligent Performance, security, mission-critical availability, and features for the modern developer. Also covered are enhancements to SQL Server 2019 for Linux and gain a comprehensive look at SQL Server using containers and Kubernetes clusters. The book concludes by showing you how to virtualize your data access with Polybase to Oracle, MongoDB, Hadoop, and Azure, allowing you to reduce the need for expensive extract, transform, and load (ETL) applications. You will then learn how to take your knowledge of containers, Kubernetes, and Polybase to build a comprehensive solution called Big Data Clusters, which is a marquee feature of 2019. You will also learn how to gain access to Spark, SQL Server, and HDFS to build intelligence over your own data lake and deploy end-to-end machine learning applications. What You Will LearnImplement Big Data Clusters with SQL Server, Spark, and HDFS Create a Data Hub with connections to Oracle, Azure, Hadoop, and other sourcesCombine SQL and Spark to build a machine learning platform for AI applicationsBoost your performance with no application changes using Intelligent PerformanceIncrease security of your SQL Server through Secure Enclaves and Data ClassificationMaximize database uptime through online indexing and Accelerated Database RecoveryBuild new modern applications with Graph, ML Services, and T-SQL Extensibility with JavaImprove your ability to deploy SQL Server on Linux Gain in-depth knowledge to run SQL Server with containers and KubernetesKnow all the new database engine features for performance, usability, and diagnosticsUse the latest tools and methods to migrate your database to SQL Server 2019Apply your knowledge of SQL Server 2019 to Azure Who This Book Is For IT professionals and developers who understand the fundamentals of SQL Server and wish to focus on learning about the new, modern capabilities of SQL Server 2019. The book is for those who want to learn about SQL Server 2019 and the new Big Data Clusters and AI feature set, support for machine learning and Java, how to run SQL Server with containers and Kubernetes, and increased capabilities around Intelligent Performance, advanced security, and high availability.
  azure data studio vs sql server management: SQL Server Query Performance Tuning Grant Fritchey, 2014-09-16 Queries not running fast enough? Wondering about the in-memory database features in 2014? Tired of phone calls from frustrated users? Grant Fritchey’s book SQL Server Query Performance Tuning is the answer to your SQL Server query performance problems. The book is revised to cover the very latest in performance optimization features and techniques, especially including the newly-added, in-memory database features formerly known under the code name Project Hekaton. This book provides the tools you need to approach your queries with performance in mind. SQL Server Query Performance Tuning leads you through understanding the causes of poor performance, how to identify them, and how to fix them. You’ll learn to be proactive in establishing performance baselines using tools like Performance Monitor and Extended Events. You’ll learn to recognize bottlenecks and defuse them before the phone rings. You’ll learn some quick solutions too, but emphasis is on designing for performance and getting it right, and upon heading off trouble before it occurs. Delight your users. Silence that ringing phone. Put the principles and lessons from SQL Server Query Performance Tuning into practice today. Covers the in-memory features from Project Hekaton Helps establish performance baselines and monitor against them Guides in troubleshooting and eliminating of bottlenecks that frustrate users
  azure data studio vs sql server management: Ultimate SQL Server and Azure SQL for Data Management and Modernization Amit Khandelwal, Sumit Sarabhai , 2024-10-25 TAGLINE An Encyclopedic Guide to Data Management and Modernization with SQL Server KEY FEATURES ● Detailed exploration of deployments on Linux, containers, and Kubernetes. ● Advanced techniques for securing, optimizing, and ensuring high availability in SQL Server. ● Strategies for SQL Server modernization and implementing best practices for peak performance. ● Expert guidance on performance monitoring and resolving SQL Server issues efficiently. DESCRIPTION SQL Server 2022 marks a major advancement in data management technology, offering features that empower organizations to harness their data like never before. Ultimate SQL Server 2022 Data Management and Modernization is your comprehensive guide to mastering this powerful tool. You will explore SQL Server 2022’s latest features, including support for Linux, containerization, and Kubernetes deployments—skills essential in today’s evolving data landscape. As you navigate these innovations, you will examine critical areas like security, business continuity, performance tuning, and optimization. Each chapter is crafted to illustrate practical applications in both on-premises and cloud environments, ensuring you grasp their significance. Building on this foundation, you will uncover best practices and modernization techniques tailored for Windows and Linux systems. The book also includes insights from the authors' extensive experience with the Microsoft SQL Server support team, equipping you with effective troubleshooting methods to address performance challenges directly. By the end of this book, you will have a thorough understanding of SQL Server deployments, empowering you to make strategic decisions and maximize its capabilities. WHAT WILL YOU LEARN ● Understand how to deploy SQL Server on Linux, Containers, Kubernetes, and hybrid environments. ● Gain expertise in securing SQL Server environments using advanced encryption, authentication, and role-based access control. ● Learn strategies for performance tuning, monitoring, disaster recovery, and high availability across on-premises and cloud deployments. ● Explore modernization techniques, cloud migrations, and future-ready SQL Server architectures to enhance scalability and flexibility. ● Implement industry-proven best practices for managing, configuring, and maintaining SQL Server for optimal results. ● Develop skills to identify, troubleshoot, and resolve SQL Server performance issues with expert guidance and tools. WHO IS THIS BOOK FOR? This book is designed for both beginners and seasoned professionals in database administration, data engineering, and development. It covers SQL Server fundamentals while offering best practices for modernizing your data infrastructure. Data enthusiasts and students interested in relational databases will also gain valuable insights from this insider’s perspective on Microsoft technologies. TABLE OF CONTENTS 1. SQL Server – The Fundamentals 2. Realms of SQL – Part 1 3. Realms of SQL - Part 2 4. SQL Server and Security Hand in Glove 5. Business Continuity Strategies for SQL Offerings 6. Accelerate SQL Server Modernization 7. Achieving SQL Brilliance Through Best Practices 8. Monitoring, Performance Tuning, and Optimization Index
  azure data studio vs sql server management: The Art of High Performance SQL Code Grant Fritchey, 2009-03 Execution plans show you what's going on behind the scenes in SQL Server. They can provide you with a wealth of information on how your queries are being executed by SQL Server, including: Which indexes are being used, and where no indexes are being used at all. How the data is being retrieved, and joined, from the tables defi ned in your query. How aggregations in GROUP BY queries are put together. The anticipated load and the estimated cost that all these operations place upon the system. Grant Fritchey's book is the only in-depth look at how to improve your SQL query performance through careful design of execution plans. Sample chapters of the ebook have garnered stunning reviews, such as: All I can say is WOW. This has to be the best reference I have ever seen on Execution Plans in SQL Server. My hats off to Grant Fritchey Jonathan Kehayias.
  azure data studio vs sql server management: SQL Server 2019 Administration Inside Out Randolph West, Melody Zacharias, William Assaf, Sven Aelterman, Louis Davidson, Joseph D'Antoni, 2020-03-11 Conquer SQL Server 2019 administration–from the inside out Dive into SQL Server 2019 administration–and really put your SQL Server DBA expertise to work. This supremely organized reference packs hundreds of timesaving solutions, tips, and workarounds–all you need to plan, implement, manage, and secure SQL Server 2019 in any production environment: on-premises, cloud, or hybrid. Six experts thoroughly tour DBA capabilities available in SQL Server 2019 Database Engine, SQL Server Data Tools, SQL Server Management Studio, PowerShell, and Azure Portal. You’ll find extensive new coverage of Azure SQL, big data clusters, PolyBase, data protection, automation, and more. Discover how experts tackle today’s essential tasks–and challenge yourself to new levels of mastery. Explore SQL Server 2019’s toolset, including the improved SQL Server Management Studio, Azure Data Studio, and Configuration Manager Design, implement, manage, and govern on-premises, hybrid, or Azure database infrastructures Install and configure SQL Server on Windows and Linux Master modern maintenance and monitoring with extended events, Resource Governor, and the SQL Assessment API Automate tasks with maintenance plans, PowerShell, Policy-Based Management, and more Plan and manage data recovery, including hybrid backup/restore, Azure SQL Database recovery, and geo-replication Use availability groups for high availability and disaster recovery Protect data with Transparent Data Encryption, Always Encrypted, new Certificate Management capabilities, and other advances Optimize databases with SQL Server 2019’s advanced performance and indexing features Provision and operate Azure SQL Database and its managed instances Move SQL Server workloads to Azure: planning, testing, migration, and post-migration
  azure data studio vs sql server management: Administering Relational Databases on Microsoft Azure Rajendra Gupta, Prashanth Jayaram, Ahmad Yaseen, 2021-03-10 This book is ideal for IT professionals who have some experience with SQL Server or Database but are looking for a rich hands-on resource with guidance to explore each of the Azure SQL administrator concepts and the solutions the cloud provider offers.The book is primarily designed for Cloud DBAs (with ample knowledge of SQL server) who are new to Azure and want to have a solid start and get an in-depth glimpse on advanced topics that will help them to solve day-to-day issues plus effectively support the Azure databases. Administering Relational Databases on Microsoft Azure takes readers through a complete tour of understanding fundamental Azure concepts, Azure SQL administration, Azure Management tools, and techniques. This book will give an edge over to clear DP 300 exam. Increasingly, we continue to flood with information about the importance of the cloud. Cloud computing is everywhere, but not everyone knows exactly what it is and where to get started.We try to focus more on Azure SQL and give you the foundational understanding of what the cloud really is and tell you how some of these cloud technologies can work for you, and direct you to improve your knowledge and get certified with hassle-free learning. If you find it is for you, you will pick up useful tricks and tips for making a move to the cloud as seamless as possible.It is never too late to turn the corner from On-premise DBA to Cloud DBA specialist. In most technical discussions, we see a vast gap in cloud adoption and the reality of absorption. There is always a need to learn the Next-Gen technology. In this book, you explore the importance of understanding and managing cloud databases and the skills you must build around the Cloud to face the cloud DBA certification. In addition, along the way, you will pick up great interesting insights, real-time scenarios and fundamentals, concepts of Cloud, cloud management tools, test cases, and several practice solutions.
  azure data studio vs sql server management: Microsoft Azure Essentials Migrating SQL Server Databases to Azure Carl Rabeler, 2016-06-06 Part of the “Microsoft Azure Essentials” series, this ebook helps SQL Server database users understand Microsoft’s offering for SQL Server in Azure. Learn how SQL Server in Azure is similar to SQL Server in an on-premises environment, and how they are different. The author, a content lead for Azure.com, walks you through the steps of getting started with SQL Server in an Azure virtual machine and with Azure SQL Database. Follow the numerous screenshots to create a trial subscription, create SQL Server in an Azure virtual machine, create an Azure SQL Database, migrate an on-premises database to each Azure environment, create users, back up and restore data, and archive data.
  azure data studio vs sql server management: Windows Azure SQL Database Step by Step Leonard G. Lobel, Eric D. Boyd, 2014-06-24 Your hands-on guide to Azure SQL Database fundamentals Expand your expertise—and teach yourself the fundamentals of Microsoft Azure SQL Database. If you have previous programming experience but are new to Azure, this tutorial delivers the step-by-step guidance and coding exercises you need to master core topics and techniques. Discover how to: Perform Azure setup and configuration Explore design and security considerations Use programming and reporting services Migrate data Backup and sync data Work with scalability and high performance Understand the differences between SQL Server and Microsoft Azure SQL Database
  azure data studio vs sql server management: Azure SQL Revealed Bob Ward, 2020-10-30 Access detailed content and examples on Azure SQL, a set of cloud services that allows for SQL Server to be deployed in the cloud. This book teaches the fundamentals of deployment, configuration, security, performance, and availability of Azure SQL from the perspective of these same tasks and capabilities in SQL Server. This distinct approach makes this book an ideal learning platform for readers familiar with SQL Server on-premises who want to migrate their skills toward providing cloud solutions to an enterprise market that is increasingly cloud-focused. If you know SQL Server, you will love this book. You will be able to take your existing knowledge of SQL Server and translate that knowledge into the world of cloud services from the Microsoft Azure platform, and in particular into Azure SQL. This book provides information never seen before about the history and architecture of Azure SQL. Author Bob Ward is a leading expert with access to and support from the Microsoft engineering team that built Azure SQL and related database cloud services. He presents powerful, behind-the-scenes insights into the workings of one of the most popular database cloud services in the industry. What You Will LearnKnow the history of Azure SQLDeploy, configure, and connect to Azure SQLChoose the correct way to deploy SQL Server in AzureMigrate existing SQL Server instances to Azure SQLMonitor and tune Azure SQL’s performance to meet your needsEnsure your data and application are highly availableSecure your data from attack and theft Who This Book Is For This book is designed to teach SQL Server in the Azure cloud to the SQL Server professional. Anyone who operates, manages, or develops applications for SQL Server will benefit from this book. Readers will be able to translate their current knowledge of SQL Server—especially of SQL Server 2019—directly to Azure. This book is ideal for database professionals looking to remain relevant as their customer base moves into the cloud.
  azure data studio vs sql server management: Administering and Developing Azure SQL Database Agus Kurniawan, This book helps readers to get started with Azure SQL Database for administering and developing. The following is a list of highlight topics in this book. * Setting up Azure SQL Database * Administering Azure SQL Database * Developing Applications for Azure SQL Database * Developing Azure App Service with Azure SQL Database * Export and Import SQL Database
  azure data studio vs sql server management: Microsoft Visual Studio LightSwitch Unleashed Alessandro Del Sole, 2012-02-06 Microsoft® Visual Studio® LightSwitch® Unleashed Alessandro Del Sole Microsoft Visual Studio LightSwitch represents a breakthrough in business application development for Windows clients, the Web, and the cloud. Using this new tool, you can build powerful data-centric applications with far less code than ever before. Microsoft Visual Studio LightSwitch Unleashed is the first comprehensive, start-to-finish guide to this powerful new tool. Written by longtime Visual Basic expert and Microsoft MVP Alessandro Del Sole, this book covers everything Microsoft developers need to know to make the most of LightSwitch–from the absolute basics to the most advanced enterprise techniques. You learn how to use LightSwitch to build modern, scalable, customized line-of-business applications that automatically leverage technologies such as Silverlight, WCF, and SQL Server Express with no effort or expertise on your part. Through hands-on examples, Del Sole guides you through building solutions that can integrate and analyze business information from virtually any source, crafting custom logic that solves your company’s unique problems, and delivering state-of-the-art usability through professional-quality user interfaces. Implement features such as screen navigation, data interaction, paging, and Excel export, with absolutely no coding Build simple data-centric applications and add power to them with relationships and details Rapidly create customized queries, filters, sorts, and reports Aggregate data from many locations, including SharePoint, SQL Server, and the cloud Simplify the implementation of application-level data validation Protect your applications with authentication and authorization Fine tune your code for scalability and performance Streamline deployment to local computers, web servers, and the Windows Azure cloud Use .NET code to define custom behaviors related to data and the user interface Understand how LightSwitch applications are architected and how they are handled by Visual Studio Use LightSwitch with other Visual Studio tools to manage the entire application life cycle Efficiently debug LightSwitch code–and create code that’s easier to debug Category: Microsoft Programming Covers: LightSwitch User Level: Intermediate—Advanced ON THE WEB: Download all examples and source code presented in this book as they are available from informit.com/title/9780672335532
  azure data studio vs sql server management: T-SQL Fundamentals Itzik Ben-Gan, 2023-03-03 Query and modify data effectively with the latest T-SQL features Master Transact-SQL's fundamentals, and write correct, robust code for querying and modifying data with modern Microsoft data technologies, including SQL Server 2022, Azure SQL Database, and Azure SQL Managed Instance. Long-time Microsoft Data Platform MVP Itzik Ben-Gan explains key T-SQL concepts, helping you apply your knowledge with hands-on exercises. Ben-Gan first introduces T-SQL's theory and underlying logic, illuminating it as both a language and a way of thinking. Next, he walks through core topics, including logical query processing, single table queries, joins, subqueries, table expressions, set operators, data analysis, data modifications, temporal tables, and transactions and concurrency. Building on this foundation, you'll enhance your coding capabilities, from programmatic constructs to the powerful new SQL Graph. Throughout, Ben-Gan presents reusable T-SQL sample code that works in cloud, on-premises, and hybrid environments. Microsoft Data Platform MVP Itzik Ben-Gan helps you: Understand why T-SQL works as it does, so you can write better code Review relational theory elements and modern SQL Server architecture Create tables and defi ne data integrity Build single-table SELECT queries, multiple-table joins, and subqueries Utilize derived tables, Common Table Expressions, views, inline table-valued functions, and APPLY Make the most of UNION, INTERSECT, and EXCEPT set operators Perform data analysis with window functions, pivoting, grouping sets, and time series Insert, update, delete, and merge data Get started with system-versioned temporal tables Understand and apply transactions and concurrency, including concurrent user connections, locks, blocking, isolation levels, and more Use SQL Graph to model, create, modify, and query graph-based data Explore SQL Server programmable objects and programming capabilities Set up your environment, install sample databases, and fi nd even more help For IT Professionals and Consultants For T-SQL developers, DBAs, BI practitioners, data scientists, report writers, analysts, architects, and SQL Server power users For anyone else who needs to write queries or develop T-SQL code for SQL Server, Azure SQL Database, or Azure SQL Managed Instance
  azure data studio vs sql server management: Learn Dbatools in a Month of Lunches Chrissy LeMaire, Rob Sewell, Jess Pomfret, Cláudio Silva, 2022-07-12 If you work with SQL Server, dbatools is a lifesaver. This book will show you how to use this free and open source PowerShell module to automate just about every SQL server task you can imagine—all in just one month! Written by a group of expert authors including dbatools creator Chrissy LeMaire, Learn dbatools in a Month of Lunches teaches you techniques that will make you more effective—and efficient—than you ever thought possible. In twenty-eight lunchbreak lessons, you’ll learn the most important use cases of dbatools and the favorite functions of its core developers. Stabilize and standardize your SQL server environment, and simplify your tasks by building automation, alerting, and reporting with this powerful tool.
  azure data studio vs sql server management: MCA Microsoft Certified Associate Azure Data Engineer Study Guide Benjamin Perkins, 2023-08-02 Prepare for the Azure Data Engineering certification—and an exciting new career in analytics—with this must-have study aide In the MCA Microsoft Certified Associate Azure Data Engineer Study Guide: Exam DP-203, accomplished data engineer and tech educator Benjamin Perkins delivers a hands-on, practical guide to preparing for the challenging Azure Data Engineer certification and for a new career in an exciting and growing field of tech. In the book, you’ll explore all the objectives covered on the DP-203 exam while learning the job roles and responsibilities of a newly minted Azure data engineer. From integrating, transforming, and consolidating data from various structured and unstructured data systems into a structure that is suitable for building analytics solutions, you’ll get up to speed quickly and efficiently with Sybex’s easy-to-use study aids and tools. This Study Guide also offers: Career-ready advice for anyone hoping to ace their first data engineering job interview and excel in their first day in the field Indispensable tips and tricks to familiarize yourself with the DP-203 exam structure and help reduce test anxiety Complimentary access to Sybex’s expansive online study tools, accessible across multiple devices, and offering access to hundreds of bonus practice questions, electronic flashcards, and a searchable, digital glossary of key terms A one-of-a-kind study aid designed to help you get straight to the crucial material you need to succeed on the exam and on the job, the MCA Microsoft Certified Associate Azure Data Engineer Study Guide: Exam DP-203 belongs on the bookshelves of anyone hoping to increase their data analytics skills, advance their data engineering career with an in-demand certification, or hoping to make a career change into a popular new area of tech.
  azure data studio vs sql server management: SQL Server 2017 Administration Inside Out William Assaf, Randolph West, Sven Aelterman, Mindy Curnutt, 2018-02-26 Conquer SQL Server 2017 administration—from the inside out Dive into SQL Server 2017 administration—and really put your SQL Server DBA expertise to work. This supremely organized reference packs hundreds of timesaving solutions, tips, and workarounds—all you need to plan, implement, manage, and secure SQL Server 2017 in any production environment: on-premises, cloud, or hybrid. Four SQL Server experts offer a complete tour of DBA capabilities available in SQL Server 2017 Database Engine, SQL Server Data Tools, SQL Server Management Studio, and via PowerShell. Discover how experts tackle today’s essential tasks—and challenge yourself to new levels of mastery. • Install, customize, and use SQL Server 2017’s key administration and development tools • Manage memory, storage, clustering, virtualization, and other components • Architect and implement database infrastructure, including IaaS, Azure SQL, and hybrid cloud configurations • Provision SQL Server and Azure SQL databases • Secure SQL Server via encryption, row-level security, and data masking • Safeguard Azure SQL databases using platform threat protection, firewalling, and auditing • Establish SQL Server IaaS network security groups and user-defined routes • Administer SQL Server user security and permissions • Efficiently design tables using keys, data types, columns, partitioning, and views • Utilize BLOBs and external, temporal, and memory-optimized tables • Master powerful optimization techniques involving concurrency, indexing, parallelism, and execution plans • Plan, deploy, and perform disaster recovery in traditional, cloud, and hybrid environments For Experienced SQL Server Administrators and Other Database Professionals • Your role: Intermediate-to-advanced level SQL Server database administrator, architect, developer, or performance tuning expert • Prerequisites: Basic understanding of database administration procedures
  azure data studio vs sql server management: Mastering Azure Synapse Analytics , 2023-04-15 A practical guide that will help you transform your data into actionable insights with Azure Synapse Analytics KEY FEATURES ● Explore the different features in the Azure Synapse Analytics workspace. ● Learn how to integrate Power BI and Data Governance capabilities with Azure Synapse Analytics. ● Accelerate your analytics journey with the no-code/low-code capabilities of Azure Synapse. DESCRIPTION Cloud analytics is a crucial aspect of any digital transformation initiative, and the capabilities of the Azure Synapse analytics platform can simplify and streamline this process. By mastering Azure Synapse Analytics, analytics developers across organizations can boost their productivity by utilizing low-code, no-code, and traditional code-based analytics frameworks. This book starts with a comprehensive introduction to Azure Synapse Analytics and its limitless cloud-scale analytics capabilities. You will then learn how to explore and work with data warehousing features in Azure Synapse. Moving on, the book will guide you on how to effectively use Synapse Spark for data engineering and data science. It will help you learn how to gain insights from your data through Observational analytics using Synapse Data Explorer. You will also discover the seamless data integration capabilities of Synapse Pipeline, and delve into the benefits of Synapse Analytics' low-code and no-code pipeline development features. Lastly the book will show you how to create network topology and implement industry-specific architecture patterns in Azure Synapse Analytics. By the end of the book, you will be able to process and analyze vast amounts of data in real-time to gain insights quickly and make informed decisions. WHAT YOU WILL LEARN ● Leverage Synapse Spark for machine learning tasks. ● Use Synapse Data Explorer for telemetry analysis. ● Take advantage of Synapse's common data model-based database templates. ● Query data using T-SQL, KQL, and Spark SQL within Synapse. ● Integrate Microsoft Purview with Synapse for enhanced data governance. WHO THIS BOOK IS FOR This book is designed for Cloud data engineers with prior experience in Azure cloud computing, as well as Chief Data Officers (CDOs) and Data professionals, who want to use this unified platform for data ingestion, data warehousing, and big data analytics. TABLE OF CONTENTS 1. Cloud Analytics Concept 2. Introduction to Azure Synapse Analytics 3. Modern Data Warehouse with the Synapse SQL Pool 4. Query as a Service- Synapse Serverless SQL 5. Synapse Spark Pool Capability 6. Synapse Spark and Data Science 7. Learning Synapse Data Explorer 8. Synapse Data Integration 9. Synapse Link for HTAP 10. Azure Synapse -Unified Analytics Service 11. Synapse Workspace Ecosystem Integration 12. Azure Synapse Network Topology 13. Industry Cloud Analytics
  azure data studio vs sql server management: Introducing Microsoft SQL Server 2019 Kellyn Gorman, Allan Hirt, Dave Noderer, Mitchell Pearson, James Rowland-Jones, Dustin Ryan, Arun Sirpal, Buck Woody, 2020-04-27 Explore the impressive storage and analytic tools available with the in-cloud and on-premises versions of Microsoft SQL Server 2019. Key FeaturesGain insights into what’s new in SQL Server 2019Understand use cases and customer scenarios that can be implemented with SQL Server 2019Discover new cross-platform tools that simplify management and analysisBook Description Microsoft SQL Server comes equipped with industry-leading features and the best online transaction processing capabilities. If you are looking to work with data processing and management, getting up to speed with Microsoft Server 2019 is key. Introducing SQL Server 2019 takes you through the latest features in SQL Server 2019 and their importance. You will learn to unlock faster querying speeds and understand how to leverage the new and improved security features to build robust data management solutions. Further chapters will assist you with integrating, managing, and analyzing all data, including relational, NoSQL, and unstructured big data using SQL Server 2019. Dedicated sections in the book will also demonstrate how you can use SQL Server 2019 to leverage data processing platforms, such as Apache Hadoop and Spark, and containerization technologies like Docker and Kubernetes to control your data and efficiently monitor it. By the end of this book, you'll be well versed with all the features of Microsoft SQL Server 2019 and understand how to use them confidently to build robust data management solutions. What you will learnBuild a custom container image with a DockerfileDeploy and run the SQL Server 2019 container imageUnderstand how to use SQL server on LinuxMigrate existing paginated reports to Power BI Report ServerLearn to query Hadoop Distributed File System (HDFS) data using Azure Data StudioUnderstand the benefits of In-Memory OLTPWho this book is for This book is for database administrators, architects, big data engineers, or anyone who has experience with SQL Server and wants to explore and implement the new features in SQL Server 2019. Basic working knowledge of SQL Server and relational database management system (RDBMS) is required.
  azure data studio vs sql server management: Azure Data Factory by Example Richard Swinbank,
  azure data studio vs sql server management: Ultimate Azure Synapse Analytics Swapnil Mule, 2024-06-29 TAGLINE Empower Your Data Insights with Azure Synapse Analytics KEY FEATURES ● Leverage Azure Synapse Analytics for data warehousing, big data analytics, and machine learning in one environment. ● Integrate with Azure services like Azure Data Lake Storage and Azure Machine Learning to enhance analytics. ● Gain insights from real-world examples and best practices to solve complex data challenges. DESCRIPTION Unlock the full potential of Azure Synapse Analytics with Ultimate Azure Synapse Analytics, your definitive roadmap to mastering the art of data analytics in the cloud era. From the foundational concepts to advanced techniques, each chapter offers practical insights and hands-on tutorials to streamline your data workflows and drive actionable insights. Discover how Azure Synapse Analytics revolutionizes data processing and integration, empowering you to harness the vast capabilities of the Azure ecosystem. Seamlessly transition from traditional data warehousing to cutting-edge big data analytics, leveraging serverless and dedicated resources for optimal performance. Dive deep into Synapse SQL, explore advanced data engineering with Apache Spark, and delve into machine learning and DevOps practices to stay ahead in today's data-driven landscape. Whether you're seeking to optimize performance, ensure compliance, or facilitate seamless migration, this book provides the expertise needed to excel in your role. Gain valuable insights into industry best practices, enhance your data engineering skills, and drive innovation within your organization. WHAT WILL YOU LEARN ● Understand the significance of Azure Synapse Analytics in modern data analytics. ● Learn to set up and configure your Synapse workspace for efficient data processing. ● Dive into Synapse SQL and discover techniques for data exploration and analysis. ● Master advanced techniques for seamless data integration into Azure Synapse Analytics. ● Explore big data engineering concepts and leverage Apache Spark for scalable data processing. ● Discover how to implement machine learning models and algorithms using Synapse Analytics. ● Ensure data security and regulatory compliance with effective security measures in Azure Synapse Analytics. ● Optimize performance and efficiency through performance tuning strategies and optimization techniques. ● Implement DevOps practices for effective data engineering and continuous integration and deployment. ● Gain insights into best practices for successful implementation and migration to Azure Synapse Analytics for streamlined data operations. WHO IS THIS BOOK FOR? This comprehensive book is crafted for data engineers, analysts, architects, and developers eager to master Azure Synapse Analytics, providing practical insights and advanced techniques. Whether you're a novice or a seasoned professional in the field of data analytics, this book offers invaluable resources to elevate your skills. TABLE OF CONTENTS 1. The World of Azure Synapse Analytics 2. Setting Up the Synapse Workspace 3. Synapse SQL and Data Exploration 4. Data Integration Technique 5. Big Data Engineering with Apache Spark 6. Machine Learning with Synapse 7. Implementing Security and Compliance 8. Performance Tuning and Optimization 9. DevOps for Data Engineering 10. Ensuring Implementation Success and Effective Migration Index
  azure data studio vs sql server management: SQL Server 2022 Administration Inside Out Randolph West, William Assaf, Elizabeth Noble, Meagan Longoria, Joseph D'Antoni, Louis Davidson, 2023-04-27 Conquer SQL Server 2022 and Azure SQL administration from the inside out! Dive into SQL Server 2022 administration and grow your Microsoft SQL Server data platform skillset. This well-organized reference packs in timesaving solutions, tips, and workarounds, all you need to plan, implement, deploy, provision, manage, and secure SQL Server 2022 in any environment: on-premises, cloud, or hybrid, including detailed, dedicated chapters on Azure SQL Database and Azure SQL Managed Instance. Nine experts thoroughly tour DBA capabilities available in the SQL Server 2022 Database Engine, SQL Server Data Tools, SQL Server Management Studio, PowerShell, and much more. You'll find extensive new coverage of Azure SQL Database and Azure SQL Managed Instance, both as a cloud platform of SQL Server and in their new integrations with SQL Server 2022, information available in no other book. Discover how experts tackle today's essential tasks and challenge yourself to new levels of mastery. Identify low-hanging fruit and practical, easy wins for improving SQL Server administration Get started with modern SQL Server tools, including SQL Server Management Studio, and Azure Data Studio Upgrade your SQL Server administration skillset to new features of SQL Server 2022, Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Linux Design and implement modern on-premises database infrastructure, including Kubernetes Leverage data virtualization of third-party or non-relational data sources Monitor SQL instances for corruption, index activity, fragmentation, and extended events Automate maintenance plans, database mail, jobs, alerts, proxies, and event forwarding Protect data through encryption, privacy, and auditing Provision, manage, scale and secure, and bidirectionally synchronize Microsoft's powerful Azure SQL Managed Instance Understand and enable new Intelligent Query Processing features to increase query concurrency Prepare a best-practice runbook for disaster recovery Use SQL Server 2022 features to span infrastructure across hybrid environments
  azure data studio vs sql server management: SQL Server Big Data Clusters Benjamin Weissman, Enrico van de Laar, 2020-05-23 Use this guide to one of SQL Server 2019’s most impactful features—Big Data Clusters. You will learn about data virtualization and data lakes for this complete artificial intelligence (AI) and machine learning (ML) platform within the SQL Server database engine. You will know how to use Big Data Clusters to combine large volumes of streaming data for analysis along with data stored in a traditional database. For example, you can stream large volumes of data from Apache Spark in real time while executing Transact-SQL queries to bring in relevant additional data from your corporate, SQL Server database. Filled with clear examples and use cases, this book provides everything necessary to get started working with Big Data Clusters in SQL Server 2019. You will learn about the architectural foundations that are made up from Kubernetes, Spark, HDFS, and SQL Server on Linux. You then are shown how to configure and deploy Big Data Clusters in on-premises environments or in the cloud. Next, you are taught about querying. You will learn to write queries in Transact-SQL—taking advantage of skills you have honed for years—and with those queries you will be able to examine and analyze data from a wide variety of sources such as Apache Spark. Through the theoretical foundation provided in this book and easy-to-follow example scripts and notebooks, you will be ready to use and unveil the full potential of SQL Server 2019: combining different types of data spread across widely disparate sources into a single view that is useful for business intelligence and machine learning analysis. What You Will LearnInstall, manage, and troubleshoot Big Data Clusters in cloud or on-premise environments Analyze large volumes of data directly from SQL Server and/or Apache Spark Manage data stored in HDFS from SQL Server as if it were relational data Implement advanced analytics solutions through machine learning and AI Expose different data sources as a single logical source using data virtualization Who This Book Is For Data engineers, data scientists, data architects, and database administrators who want to employ data virtualization and big data analytics in their environments
  azure data studio vs sql server management: Building Web APIs with ASP.NET Core Valerio De Sanctis, 2023-07-11 Build fully-featured APIs with ASP.NET Core! This all-practical guide is written like a real development project, taking you hands-on with modern APIs utilizing REST and GraphQL standards. In Building Web APIs with ASP.NET Core you will learn how to: Set up your environment with VS 2022, Node, Git, and more Create a ASP.NET Core project from scratch Integrate with SQL Server Use Entity Framework Core to set up a data model Create back-end controllers Design an API to serve data Write API documentation using Swagger and Swashbuckle Consume an API using typical web client-side frameworks Handle requests and routes using controllers and Minimal API Release and deploy your Web API in production on cloud-based hosting services such as MS Azure Building Web APIs with ASP.NET Core is a practical beginner’s guide to creating your first web APIs using ASP.NET Core. In it, you’ll develop an API that feeds web-based services, including websites and mobile apps, for a board games application. The book is cleverly structured to mirror a real-world development project, with each chapter introducing a new feature request. You’ll build your API with an ecosystem of ASP.NET Core tools that help simplify everything from setting up your data model to generating documentation. About the Technology Web APIs are the front door to an application, providing controlled access to its data and features. ASP.NET Core, Microsoft’s web framework, simplifies and accelerates API creation with powerful, developer-friendly features, including an innovative “no compile” coding experience. It is reliable, fast, free, open-source, and backed by Microsoft’s legendary support. About the Book Building Web APIs with ASP.NET Core teaches you how to write safe, maintainable, and performant REST APIs. It’s full of best practices for modern and classic API styles, including REST and GraphQL. You’ll love the groundbreaking Minimal API model that helps you build pro-quality APIs with just a few lines of code. Each chapter contains realistic user stories, backlog items, and development tasks. What’s Inside Create an ASP.NET Core project from scratch Set up a data model with Entity Framework Core Create backend controllers Design an API to serve data About the Reader For developers with some experience using the .NET Framework. About the Author Valerio De Sanctis has more than 20 years of experience in web development and project management using ASP.NET, PHP, and Java. Table of Contents PART 1 - GETTING STARTED 1 Web APIs at a glance 2 Our first web API project 3 RESTful principles and guidelines PART 2 - BASIC CONCEPTS 4 Working with data 5 CRUD operations 6 Data validation and error handling PART 3 - ADVANCED CONCEPTS 7 Application logging 8 Caching techniques 9 Authentication and authorization 10 Beyond REST PART 4 - TOWARD PRODUCTION 11 API documentation 12 Release and deployment
  azure data studio vs sql server management: ASP.NET Core 6 and Angular Valerio De Sanctis, 2022-04-06 Design, build and deploy robust web applications using ASP.NET 6, Angular 13, and Entity Framework Core Key FeaturesThe most up-to-date book that covers cutting-edge features released in ASP.NET Core 6 and Angular 13Create a production-ready Single-Page Application (SPA) or Progressive Web Application (PWA)Adopt a full-stack approach to handle data management, API documentation, Web APIs, end-to-end testing, security, and deploymentBook Description Every full-stack ninja needs the tools to operate on front-end and back-end application development. This web app development book takes a hands-on, project-based approach to provide you with all the tools and techniques that web developers need to create, debug, and deploy efficient web applications using ASP.NET Core and Angular. The fifth edition has been updated to cover advanced topics such as Minimal APIs, Web APIs with GraphQL, real-time updates with SignalR, and new features in .NET 6 and Angular 13. You begin by building a data model with Entity Framework Core, alongside utilizing the Entity Core Fluent API and EntityTypeConfiguration class. You'll learn how to fetch and display data and handle user input with Angular reactive forms and front-end and back-end validators for maximum effect. Later, you will perform advanced debugging and explore the unit testing features provided by xUnit.net (.NET 6) and Jasmine, as well as Karma for Angular. After adding authentication and authorization to your apps, you will explore progressive web applications, learning about their technical requirements, testing processes, and how to convert a standard web application to a PWA. By the end of this web development book, you will understand how to tie together the front-end and back-end to build and deploy secure and robust web applications. What you will learnUse the new Visual Studio Standalone TypeScript Angular templateImplement and consume a Web API interface with ASP.NET CoreSet up an SQL database server using a local instance or a cloud datastorePerform C# and TypeScript debugging using Visual Studio 2022Create TDD and BDD unit tests using xUnit, Jasmine, and KarmaPerform DBMS structured logging using providers such as SeriLogDeploy web apps to Azure App Service using IIS, Kestrel, and NGINXLearn to develop fast and flexible Web APIs using GraphQLAdd real-time capabilities to Angular apps with ASP.NET Core SignalRWho this book is for This book is for experienced ASP.NET developers who already possess some familiarity with ASP.NET Core and Angular and are looking to learn how to use them effectively together. The fully documented code samples (also available on GitHub) and the step-by-step implementation tutorials make this book easy to follow.
  azure data studio vs sql server management: SQL Server on Azure Virtual Machines Joey D'Antoni, Louis Davidson, Allan Hirt, John Martin, Anthony Nocentino, Tim Radney, Randolph West, 2020-06-04 Learn how to combine SQL Server's analytics with Azure's flexibility and hybrid connectivity to achieve industry-leading performance and manageability for your cloud database. Key FeaturesUnderstand platform availability for SQL Server in AzureExplore the benefits and deployment choices offered by SQL IaaSGet to grips with deploying SQL Server on the Linux development ecosystemBook Description Deploying SQL Server on Azure virtual machines allows you to work on full versions of SQL Server in the cloud without having to maintain on-premises hardware. The book begins by introducing you to the SQL portfolio in Azure and takes you through SQL Server IaaS scenarios, before explaining the factors that you need to consider while choosing an OS for SQL Server in Azure VMs. As you progress through the book, you'll explore different VM options and deployment choices for IaaS and understand platform availability, migration tools, and best practices in Azure. In later chapters, you'll learn how to configure storage to achieve optimized performance. Finally, you'll get to grips with the concept of Azure Hybrid Benefit and find out how you can use it to maximize the value of your existing on-premises SQL Server. By the end of this book, you'll be proficient in administering SQL Server on Microsoft Azure and leveraging the tools required for its deployment. What you will learnChoose an operating system for SQL Server in Azure VMsUse the Azure Management Portal to facilitate the deployment processVerify connectivity and network latency in cloudConfigure storage for optimal performance and connectivityExplore various disaster recovery options for SQL Server in AzureOptimize SQL Server on LinuxDiscover how to back up databases to a URLWho this book is for SQL Server on Azure VMs is for you if you are a developer, data enthusiast, or anyone who wants to migrate SQL Server databases to Azure virtual machines. Basic familiarity with SQL Server and managed identities for Azure resources will be a plus.
  azure data studio vs sql server management: Apps and Services with .NET 7 Mark J. Price, 2022-11-15 Bestselling author Mark Price is back to guide you through the coolest and most common technologies a .NET developer should know: Blazor, .NET MAUI, gRPC, GraphQL, SQL Server, Cosmos DB, OData, SignalR, Azure Functions, and more! Purchase of the print or Kindle book includes a free eBook in PDF format. Key FeaturesBuild services using a variety of technologies including Web API, OData, gRPC, GraphQL, SignalR, and Azure FunctionsLearn how to use specialized libraries to improve all aspects of your applications, including performance and localizationLeverage .NET MAUI to develop cross-platform desktop and mobile apps with easeBook Description Apps and Services with .NET 7 is for .NET 6 and .NET 7 developers who want to kick their C# and .NET understanding up a gear by learning the practical skills and knowledge they need to build real-world applications and services. It covers specialized libraries that will help you monitor and improve performance, secure your data and applications, and internationalize your code and apps. With chapters that put a variety of technologies into practice, including Web API, OData, gRPC, GraphQL, SignalR, and Azure Functions, this book will give you a broader scope of knowledge than other books that often focus on only a handful of .NET technologies. It covers the latest developments, libraries, and technologies that will help keep you up to date. You'll also leverage .NET MAUI to develop mobile apps for iOS and Android as well as desktop apps for Windows and macOS. What you will learnLearn how to build more efficient, secure, and scalable apps and servicesLeverage specialized .NET libraries to improve your applicationsImplement popular third-party libraries like Serilog and FluentValidationBuild cross-platform apps with .NET MAUI and integrate with native mobile featuresGet familiar with a variety of technologies for implementing services like gRPC and GraphQLExplore Blazor WebAssembly and use open-source Blazor component librariesStore and manage data locally and in the cloud with SQL Server and Cosmos DBWho this book is for This book is for .NET developers interested in exploring more specialized libraries and implementation fundamentals behind building services and apps. You'll need to know your way around .NET and C# quite well before you can dive in, so if you want to work your way up to this book, pick up Mark's other .NET book, C# 11 and .NET 7 – Modern Cross-Platform Development Fundamentals, first.
  azure data studio vs sql server management: Apps and Services with .NET 8 Mark J. Price, 2023-12-12 Bestselling author Mark Price is back to guide you through the latest and most common technologies a .NET developer should know: Blazor Full Stack, ASP.NET Core MVC, ASP.NET Core Minimal APIs, .NET MAUI, gRPC, GraphQL, SQL Server, Cosmos DB, SignalR, Azure Functions, and more! Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Use specialized libraries to improve all aspects of your apps, including performance, security, and localization Harness the full potential of .NET using cloud-native data stores like Cosmos DB, and unlock scalability, performance, and resilience in your service implementations Unleash the capabilities of Blazor Full Stack and.NET MAUI to develop stunning, truly cross-platform apps for web and mobile Book DescriptionElevate your practical C# and .NET skills to the next level with this new edition of Apps and Services with .NET 8. With chapters that put a variety of technologies into practice, including Web API, gRPC, GraphQL, and SignalR, this book will give you a broader scope of knowledge than other books that often focus on only a handful of .NET technologies. You’ll dive into the new unified model for Blazor Full Stack and leverage .NET MAUI to develop mobile and desktop apps. This new edition introduces the latest enhancements, including the seamless implementation of web services with ADO.NET SqlClient's native Ahead-of-Time (AOT) support. Popular library coverage now includes Humanizer and Noda Time. There’s also a brand-new chapter that delves into service architecture, caching, queuing, and robust background services. By the end of this book, you’ll have a wide range of best practices and deep insights under your belt to help you build rich apps and efficient services.What you will learn Familiarize yourself with a variety of technologies to implement services, such as gRPC and GraphQL Store and manage data locally and cloud-natively with SQL Server and Cosmos DB Use ADO.NET SqlClient to implement web services with native AOT publish support Leverage Dapper for improved performance over EF Core Implement popular third-party libraries such as Serilog, FluentValidation, Humanizer, and Noda Time Explore the new unified hosting model of Blazor Full Stack Who this book is forThis book is for .NET developers interested in exploring more specialized libraries and implementation fundamentals behind building services and apps. You’ll need to know your way around .NET and C# quite well before you can dive in, so if you want to work your way up to this book, you can pick up Mark’s other .NET book, C# 12 and .NET 8 – Modern Cross-Platform Development Fundamentals, first.
  azure data studio vs sql server management: MC Microsoft Certified Azure Data Fundamentals Study Guide Jake Switzer, 2022-04-14 The most authoritative and complete study guide for people beginning to work with data in the Azure cloud In MC Azure Data Fundamentals Study Guide: Exam DP-900, expert Cloud Solution Architect Jake Switzer delivers a hands-on blueprint to acing the DP-900 Azure data certification. The book prepares you for the test – and for a new career in Azure data analytics, architecture, science, and more – with a laser-focus on the job roles and responsibilities of Azure data professionals. You’ll receive a foundational knowledge of core data concepts, like relational and non-relational data and transactional and analytical data workloads, while diving deep into every competency covered on the DP-900 exam. You’ll also get: Access to complimentary online study tools, including hundreds of practice exam questions, electronic flashcards, and a searchable glossary Additional prep assistance with access to Sybex’s superior interactive online learning environment and test bank Walkthroughs of skills and knowledge that are absolutely necessary for current and aspiring Azure data pros in introductory roles Perfect for anyone just beginning to work with data in the cloud, MC Azure Data Fundamentals Study Guide: Exam DP-900 is a can’t-miss resource for anyone prepping for the DP-900 exam or considering a new career working with Azure data.
  azure data studio vs sql server management: Ultimate Azure Data Engineering Ashish Agarwal, 2024-07-22 TAGLINE Discover the world of data engineering in an on-premises setting versus the Azure cloud KEY FEATURES ● Explore Azure data engineering from foundational concepts to advanced techniques, spanning SQL databases, ETL processes, and cloud-native solutions. ● Learn to implement real-world data projects with Azure services, covering data integration, storage, and analytics, tailored for diverse business needs. ● Prepare effectively for Azure data engineering certifications with detailed exam-focused content and practical exercises to reinforce learning. DESCRIPTION Embark on a comprehensive journey into Azure data engineering with “Ultimate Azure Data Engineering”. Starting with foundational topics like SQL and relational database concepts, you'll progress to comparing data engineering practices in Azure versus on-premises environments. Next, you will dive deep into Azure cloud fundamentals, learning how to effectively manage heterogeneous data sources and implement robust Extract, Transform, Load (ETL) concepts using Azure Data Factory, mastering the orchestration of data workflows and pipeline automation. The book then moves to explore advanced database design strategies and discover best practices for optimizing data performance and ensuring stringent data security measures. You will learn to visualize data insights using Power BI and apply these skills to real-world scenarios. Whether you're aiming to excel in your current role or preparing for Azure data engineering certifications, this book equips you with practical knowledge and hands-on expertise to thrive in the dynamic field of Azure data engineering. WHAT WILL YOU LEARN ● Master the core principles and methodologies that drive data engineering such as data processing, storage, and management techniques. ● Gain a deep understanding of Structured Query Language (SQL) and relational database management systems (RDBMS) for Azure Data Engineering. ● Learn about Azure cloud services for data engineering, such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Blob Storage. ● Gain proficiency to orchestrate data workflows, schedule data pipelines, and monitor data integration processes across cloud and hybrid environments. ● Design optimized database structures and data models tailored for performance and scalability in Azure. ● Implement techniques to optimize data performance such as query optimization, caching strategies, and resource utilization monitoring. ● Learn how to visualize data insights effectively using tools like Power BI to create interactive dashboards and derive data-driven insights. ● Equip yourself with the knowledge and skills needed to pass Microsoft Azure data engineering certifications. WHO IS THIS BOOK FOR? This book is tailored for a diverse audience including aspiring and current Azure data engineers, data analysts, and data scientists, along with database and BI developers, administrators, and analysts. It is an invaluable resource for those aiming to obtain Azure data engineering certifications. TABLE OF CONTENTS 1. Introduction to Data Engineering 2. Understanding SQL and RDBMS Concepts 3. Data Engineering: Azure Versus On-Premises 4. Azure Cloud Concepts 5. Working with Heterogenous Data Sources 6. ETL Concepts 7. Database Design and Modeling 8. Performance Best Practices and Data Security 9. Data Visualization and Application in Real World 10. Data Engineering Certification Guide Index
  azure data studio vs sql server management: ASP.NET Core 8 and Angular Valerio De Sanctis, 2024-02-28 Build robust, scalable web applications using ASP.NET Core 8, Angular, and Entity Framework Core Purchase of the print or Kindle book includes a free PDF eBook Key Features Combine ASP.NET Core and Angular to build highly versatile web applications Create a production-ready Single-Page Application (SPA) or Progressive Web Application (PWA) Adopt a full-stack approach to handle data management, API documentation, Web APIs, end-to-end testing, security, and deployment Book DescriptionIf you want to learn how to use ASP.NET Core with Angular effectively, this hands-on guide is for you. Improve the way you create, debug, and deploy web applications while keeping up to date with the latest developments in .NET 8 and modern Angular, including .NET Minimal APIs and the new Angular standalone API defaults. You’ll begin by setting up SQL Server 2022 and building a data model with Entity Framework Core. You’ll progress to fetching and displaying data, handling user input with Angular reactive forms, and implementing front-end and back-end validators for maximum effect. After that, you will perform advanced debugging and explore unit testing features with xUnit for .NET, and Jasmine and Karma for Angular. You’ll use Identity API endpoints in ASP.NET Core and functional route guards in Angular to add authentication and authorization to your apps. Finally, you’ll learn how to deploy to Windows, Linux, and Azure. By the end of this book, you will understand how to tie together the front-end and back-end to build and deploy secure and robust web applications.What you will learn Explore the new Angular and ASP.NET Core template with Visual Studio 2022 Use modern interfaces and patterns such as the HTML5 pushState API, webhooks, and UI data bindings Add real-time capabilities to Angular apps with SignalR and gRPC Implement authentication and authorization using JWTs Perform DBMS structured logging using providers such as SeriLog Convert a standard web application to a progressive web application (PWA) Deploy an Angular app to Azure Static Web Apps Add GraphQL support to back-end and front-end using HotChocolate and Apollo Angular Who this book is for This book is for developers who have some familiarity with ASP.NET Core and Angular and want to learn how to use them effectively together.
  azure data studio vs sql server management: Cloud Scale Analytics with Azure Data Services Patrik Borosch, 2021-07-23 A practical guide to implementing a scalable and fast state-of-the-art analytical data estate Key FeaturesStore and analyze data with enterprise-grade security and auditingPerform batch, streaming, and interactive analytics to optimize your big data solutions with easeDevelop and run parallel data processing programs using real-world enterprise scenariosBook Description Azure Data Lake, the modern data warehouse architecture, and related data services on Azure enable organizations to build their own customized analytical platform to fit any analytical requirements in terms of volume, speed, and quality. This book is your guide to learning all the features and capabilities of Azure data services for storing, processing, and analyzing data (structured, unstructured, and semi-structured) of any size. You will explore key techniques for ingesting and storing data and perform batch, streaming, and interactive analytics. The book also shows you how to overcome various challenges and complexities relating to productivity and scaling. Next, you will be able to develop and run massive data workloads to perform different actions. Using a cloud-based big data-modern data warehouse-analytics setup, you will also be able to build secure, scalable data estates for enterprises. Finally, you will not only learn how to develop a data warehouse but also understand how to create enterprise-grade security and auditing big data programs. By the end of this Azure book, you will have learned how to develop a powerful and efficient analytical platform to meet enterprise needs. What you will learnImplement data governance with Azure servicesUse integrated monitoring in the Azure Portal and integrate Azure Data Lake Storage into the Azure MonitorExplore the serverless feature for ad-hoc data discovery, logical data warehousing, and data wranglingImplement networking with Synapse Analytics and Spark poolsCreate and run Spark jobs with Databricks clustersImplement streaming using Azure Functions, a serverless runtime environment on AzureExplore the predefined ML services in Azure and use them in your appWho this book is for This book is for data architects, ETL developers, or anyone who wants to get well-versed with Azure data services to implement an analytical data estate for their enterprise. The book will also appeal to data scientists and data analysts who want to explore all the capabilities of Azure data services, which can be used to store, process, and analyze any kind of data. A beginner-level understanding of data analysis and streaming will be required.
  azure data studio vs sql server management: Azure Data Engineering Cookbook Ahmad Osama, 2021-04-05 Over 90 recipes to help you orchestrate modern ETL/ELT workflows and perform analytics using Azure services more easily Key FeaturesBuild highly efficient ETL pipelines using the Microsoft Azure Data servicesCreate and execute real-time processing solutions using Azure Databricks, Azure Stream Analytics, and Azure Data ExplorerDesign and execute batch processing solutions using Azure Data FactoryBook Description Data engineering is one of the faster growing job areas as Data Engineers are the ones who ensure that the data is extracted, provisioned and the data is of the highest quality for data analysis. This book uses various Azure services to implement and maintain infrastructure to extract data from multiple sources, and then transform and load it for data analysis. It takes you through different techniques for performing big data engineering using Microsoft Azure Data services. It begins by showing you how Azure Blob storage can be used for storing large amounts of unstructured data and how to use it for orchestrating a data workflow. You'll then work with different Cosmos DB APIs and Azure SQL Database. Moving on, you'll discover how to provision an Azure Synapse database and find out how to ingest and analyze data in Azure Synapse. As you advance, you'll cover the design and implementation of batch processing solutions using Azure Data Factory, and understand how to manage, maintain, and secure Azure Data Factory pipelines. You'll also design and implement batch processing solutions using Azure Databricks and then manage and secure Azure Databricks clusters and jobs. In the concluding chapters, you'll learn how to process streaming data using Azure Stream Analytics and Data Explorer. By the end of this Azure book, you'll have gained the knowledge you need to be able to orchestrate batch and real-time ETL workflows in Microsoft Azure. What you will learnUse Azure Blob storage for storing large amounts of unstructured dataPerform CRUD operations on the Cosmos Table APIImplement elastic pools and business continuity with Azure SQL DatabaseIngest and analyze data using Azure Synapse AnalyticsDevelop Data Factory data flows to extract data from multiple sourcesManage, maintain, and secure Azure Data Factory pipelinesProcess streaming data using Azure Stream Analytics and Data ExplorerWho this book is for This book is for Data Engineers, Database administrators, Database developers, and extract, load, transform (ETL) developers looking to build expertise in Azure Data engineering using a recipe-based approach. Technical architects and database architects with experience in designing data or ETL applications either on-premise or on any other cloud vendor who wants to learn Azure Data engineering concepts will also find this book useful. Prior knowledge of Azure fundamentals and data engineering concepts is needed.
  azure data studio vs sql server management: PolyBase Revealed Kevin Feasel, 2019-12-20 Harness the power of PolyBase data virtualization software to make data from a variety of sources easily accessible through SQL queries while using the T-SQL skills you already know and have mastered. PolyBase Revealed shows you how to use the PolyBase feature of SQL Server 2019 to integrate SQL Server with Azure Blob Storage, Apache Hadoop, other SQL Server instances, Oracle, Cosmos DB, Apache Spark, and more. You will learn how PolyBase can help you reduce storage and other costs by avoiding the need for ETL processes that duplicate data in order to make it accessible from one source. PolyBase makes SQL Server into that one source, and T-SQL is your golden ticket. The book also covers PolyBase scale-out clusters, allowing you to distribute PolyBase queries among several SQL Server instances, thus improving performance. With great flexibility comes great complexity, and this book shows you where to look when queries fail, complete with coverage of internals, troubleshooting techniques, and where to find more information on obscure cross-platform errors. Data virtualization is a key target for Microsoft with SQL Server 2019. This book will help you keep your skills current, remain relevant, and build new business and career opportunities around Microsoft’s product direction. What You Will LearnInstall and configure PolyBase as a stand-alone service, or unlock its capabilities with a scale-out cluster Understand how PolyBase interacts with outside data sources while presenting their data as regular SQL Server tables Write queries combining data from SQL Server, Apache Hadoop, Oracle, Cosmos DB, Apache Spark, and more Troubleshoot PolyBase queries using SQL Server Dynamic Management Views Tune PolyBase queries using statistics and execution plans Solve common business problems, including cold storage of infrequently accessed data and simplifying ETL jobs Who This Book Is For SQL Server developers working in multi-platform environments who want one easy way of communicating with, and collecting data from, all of these sources
  azure data studio vs sql server management: Professional Azure SQL Database Administration Ahmad Osama, 2019-07-19 Leverage the features of Azure SQL database and become an expert in data management Key FeaturesExplore ways to create shards and elastic pools to scale Azure SQL databasesAutomate common management tasks with PowerShellImplement over 40 practical activities and exercises to reinforce your learningBook Description Despite being the cloud version of SQL Server, Azure SQL Database differs in key ways when it comes to management, maintenance, and administration. This book shows you how to administer Azure SQL database to fully benefit from its wide range of features and functionality. Professional Azure SQL Database Administration begins by covering the architecture and explaining the difference between Azure SQL Database and the on-premise SQL Server to help you get comfortable with Azure SQL database. You’ll perform common tasks such as migrating, backing up, and restoring a SQL Server database to an Azure database. As you progress, you’ll study how you can save costs and manage and scale multiple SQL Databases using elastic pools. You’ll also implement a disaster recovery solution using standard and active geo-replication. Whether it is learning different techniques to monitor and tune an Azure SQL database or improving performance using in-memory technology, this book will enable you to make the most out of Azure SQL database features and functionality for data management solutions. By the end of this book, you’ll be well versed with key aspects of an Azure SQL database instance, such as migration, backup restorations, performance optimization, high availability, and disaster recovery. What you will learnUnderstand Azure SQL Database configuration and pricing optionsProvision a new SQL database or migrate an existing on-premise SQL Server database to Azure SQL DatabaseBack up and restore Azure SQL DatabaseSecure an Azure SQL databaseScale an Azure SQL databaseMonitor and tune an Azure SQL databaseImplement high availability and disaster recovery with Azure SQL DatabaseAutomate common management tasks with PowerShellDevelop a scalable cloud solution with Azure SQL DatabaseManage, maintain, and secure managed instancesWho this book is for If you’re a database administrator, database developer, or an application developer interested in developing new applications or migrating existing ones with Azure SQL database, this book is for you. Prior experience of working with an on-premise SQL Server or Azure SQL database along with a basic understanding of PowerShell scripts and C# code is necessary to grasp the concepts covered in this book.
  azure data studio vs sql server management: SQL Query Design Patterns and Best Practices Steve Hughes, Dennis Neer, Dr. Ram Babu Singh, Shabbir H. Mala, Leslie Andrews, Chi Zhang, 2023-03-31 Enhance your SQL query writing skills to provide greater business value using advanced techniques such as common table expressions, window functions, and JSON Purchase of the print or Kindle book includes a free PDF eBook Key Features Examine query design and performance using query plans and indexes Solve business problems using advanced techniques such as common table expressions and window functions Use SQL in modern data platform solutions with JSON and Jupyter notebooks Book Description SQL has been the de facto standard when interacting with databases for decades and shows no signs of going away. Through the years, report developers or data wranglers have had to learn SQL on the fly to meet the business needs, so if you are someone who needs to write queries, SQL Query Design and Pattern Best Practices is for you. This book will guide you through making efficient SQL queries by reducing set sizes for effective results. You'll learn how to format your results to make them easier to consume at their destination. From there, the book will take you through solving complex business problems using more advanced techniques, such as common table expressions and window functions, and advance to uncovering issues resulting from security in the underlying dataset. Armed with this knowledge, you'll have a foundation for building queries and be ready to shift focus to using tools, such as query plans and indexes, to optimize those queries. The book will go over the modern data estate, which includes data lakes and JSON data, and wrap up with a brief on how to use Jupyter notebooks in your SQL journey. By the end of this SQL book, you'll be able to make efficient SQL queries that will improve your report writing and the overall SQL experience. What you will learn Build efficient queries by reducing the data being returned Manipulate your data and format it for easier consumption Form common table expressions and window functions to solve complex business issues Understand the impact of SQL security on your results Understand and use query plans to optimize your queries Understand the impact of indexes on your query performance and design Work with data lake data and JSON in SQL queries Organize your queries using Jupyter notebooks Who this book is for This book is for SQL developers, data analysts, report writers, data scientists, and other data gatherers looking to expand their skills for complex querying as well as for building more efficient and performant queries. For those new to SQL, this book can help you accelerate your learning and keep you from making common mistakes.
  azure data studio vs sql server management: Data Modeling for Azure Data Services Peter ter Braake, 2021-07-30 Choose the right Azure data service and correct model design for successful implementation of your data model with the help of this hands-on guide Key FeaturesDesign a cost-effective, performant, and scalable database in AzureChoose and implement the most suitable design for a databaseDiscover how your database can scale with growing data volumes, concurrent users, and query complexityBook Description Data is at the heart of all applications and forms the foundation of modern data-driven businesses. With the multitude of data-related use cases and the availability of different data services, choosing the right service and implementing the right design becomes paramount to successful implementation. Data Modeling for Azure Data Services starts with an introduction to databases, entity analysis, and normalizing data. The book then shows you how to design a NoSQL database for optimal performance and scalability and covers how to provision and implement Azure SQL DB, Azure Cosmos DB, and Azure Synapse SQL Pool. As you progress through the chapters, you'll learn about data analytics, Azure Data Lake, and Azure SQL Data Warehouse and explore dimensional modeling, data vault modeling, along with designing and implementing a Data Lake using Azure Storage. You'll also learn how to implement ETL with Azure Data Factory. By the end of this book, you'll have a solid understanding of which Azure data services are the best fit for your model and how to implement the best design for your solution. What you will learnModel relational database using normalization, dimensional, or Data Vault modelingProvision and implement Azure SQL DB and Azure Synapse SQL PoolsDiscover how to model a Data Lake and implement it using Azure StorageModel a NoSQL database and provision and implement an Azure Cosmos DBUse Azure Data Factory to implement ETL/ELT processesCreate a star schema model using dimensional modelingWho this book is for This book is for business intelligence developers and consultants who work on (modern) cloud data warehousing and design and implement databases. Beginner-level knowledge of cloud data management is expected.
  azure data studio vs sql server management: Exam Ref DP-900 Microsoft Azure Data Fundamentals Daniel A. Seara, Francesco Milano, 2021-03-12 Prepare for Microsoft Exam DP-900 Demonstrate your real-world foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services. Designed for business users, functional consultants, and other professionals, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure Data Fundamentals level. Focus on the expertise measured by these objectives: Describe core data concepts Describe how to work with relational data on Azure Describe how to work with non-relational data on Azure Describe an analytics workload on Azure This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have foundational knowledge of core data concepts and their implementation with Microsoft Azure data services, and are beginning to work with data in the cloud About the Exam Exam DP-900 focuses on core knowledge for describing fundamental database concepts and skills for cloud environments; cloud data services within Azure; cloud data roles, tasks, and responsibilities; Azure relational and non-relational data offerings, provisioning, and deployment; querying Azure relational databases; working with Azure non-relational data stores; building modern Azure data analytics solutions; and exploring Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Azure Data Fundamentals certification, demonstrating your understanding of the core capabilities of Azure data services and their use with relational data, non-relational data, and analytics workloads. See full details at: www.microsoft.com/learn
  azure data studio vs sql server management: Azure Data Factory Cookbook Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin, Xenia Ireton, 2024-02-28 Data Engineers guide to solve real-world problems encountered while building and transforming data pipelines using Azure's data integration tool Key Features Solve real-world data problems and create data-driven workflows with ease using Azure Data Factory Build an ADF pipeline that operates on pre-built ML model and Azure AI Get up and running with Fabric Data Explorer and extend ADF with Logic Apps and Azure functions Book DescriptionThis new edition of the Azure Data Factory book, fully updated to reflect ADS V2, will help you get up and running by showing you how to create and execute your first job in ADF. There are updated and new recipes throughout the book based on developments happening in Azure Synapse, Deployment with Azure DevOps, and Azure Purview. The current edition also runs you through Fabric Data Factory, Data Explorer, and some industry-grade best practices with specific chapters on each. You’ll learn how to branch and chain activities, create custom activities, and schedule pipelines, as well as discover the benefits of cloud data warehousing, Azure Synapse Analytics, and Azure Data Lake Gen2 Storage. With practical recipes, you’ll learn how to actively engage with analytical tools from Azure Data Services and leverage your on-premises infrastructure with cloud-native tools to get relevant business insights. You'll familiarize yourself with the common errors that you may encounter while working with ADF and find out the solutions to them. You’ll also understand error messages and resolve problems in connectors and data flows with the debugging capabilities of ADF. By the end of this book, you’ll be able to use ADF with its latest advancements as the main ETL and orchestration tool for your data warehouse projects.What you will learn Build and Manage data pipelines with ease using the latest version of ADF Configure, load data, and operate data flows with Azure Synapse Get up and running with Fabric Data Factory Working with Azure Data Factory and Azure Purview Create big data pipelines using Databricks and Delta tables Integrate ADF with commonly used Azure services such as Azure ML, Azure Logic Apps, and Azure Functions Learn industry-grade best practices for using Azure Data Factory Who this book is for This book is for ETL developers, data warehouse and ETL architects, software professionals, and anyone else who wants to learn about the common and not-so-common challenges faced while developing traditional and hybrid ETL solutions using Microsoft's Azure Data Factory. You’ll also find this book useful if you are looking for recipes to improve or enhance your existing ETL pipelines. Basic knowledge of data warehousing is a prerequisite.
  azure data studio vs sql server management: The Modern Data Warehouse in Azure Matt How, 2020-06-15 Build a modern data warehouse on Microsoft's Azure Platform that is flexible, adaptable, and fast—fast to snap together, reconfigure, and fast at delivering results to drive good decision making in your business. Gone are the days when data warehousing projects were lumbering dinosaur-style projects that took forever, drained budgets, and produced business intelligence (BI) just in time to tell you what to do 10 years ago. This book will show you how to assemble a data warehouse solution like a jigsaw puzzle by connecting specific Azure technologies that address your own needs and bring value to your business. You will see how to implement a range of architectural patterns using batches, events, and streams for both data lake technology and SQL databases. You will discover how to manage metadata and automation to accelerate the development of your warehouse while establishing resilience at every level. And you will know how to feed downstream analytic solutions such as Power BI and Azure Analysis Services to empower data-driven decision making that drives your business forward toward a pattern of success. This book teaches you how to employ the Azure platform in a strategy to dramatically improve implementation speed and flexibility of data warehousing systems. You will know how to make correct decisions in design, architecture, and infrastructure such as choosing which type of SQL engine (from at least three options) best meets the needs of your organization. You also will learn about ETL/ELT structure and the vast number of accelerators and patterns that can be used to aid implementation and ensure resilience. Data warehouse developers and architects will find this book a tremendous resource for moving their skills into the future through cloud-based implementations. What You Will LearnChoose the appropriate Azure SQL engine for implementing a given data warehouse Develop smart, reusable ETL/ELT processes that are resilient and easily maintained Automate mundane development tasks through tools such as PowerShell Ensure consistency of data by creating and enforcing data contracts Explore streaming and event-driven architectures for data ingestionCreate advanced staging layers using Azure Data Lake Gen 2 to feed your data warehouse Who This Book Is For Data warehouse or ETL/ELT developers who wish to implement a data warehouse project in the Azure cloud, and developers currently working in on-premise environments who want to move to the cloud, and for developers with Azure experience looking to tighten up their implementation and consolidate their knowledge
  azure data studio vs sql server management: Cloud Database Development and Management Lee Chao, 2013-07-26 Although today's job market requires IT professionals to understand cloud computing theories and have hands-on skills for developing real-world database systems, there are few books available that integrate coverage of both. Filling this void, Cloud Database Development and Management explains how readers can take advantage of the cloud environment
  azure data studio vs sql server management: Microsoft Certified Azure Data Fundamentals (Exam DP-900) Certification Guide Marcelo Leite, 2022-11-25 Learn how to implement successful Azure Data projects and get the skills to clear the DP-900 certification exam with the help of mock tests and self-assessment scenarios for better preparation Key FeaturesGet the knowledge you need to pass the DP-900 exam on your first attemptGain fundamental knowledge of the core concepts of working with data in Azure cloud data servicesLearn through a practical approach and test yourself with mock exams at the end of the bookBook Description Passing the DP-900 Microsoft Azure Data Fundamentals exam opens the door to a myriad of opportunities for working with data services in the cloud. But it is not an easy exam and you'll need a guide to set you up for success and prepare you for a career in Microsoft Azure. Absolutely everything you need to pass the DP-900 exam is covered in this concise handbook. After an introductory chapter covering the core terms and concepts, you'll go through the various roles related to working with data in the cloud and learn the similarities and differences between relational and non-relational databases. This foundational knowledge is crucial, as you'll learn how to provision and deploy Azure's relational and non-relational services in detail later in the book. You'll also gain an understanding of how to glean insights with data analytics at both small and large scales, and how to visualize your insights with Power BI. Once you reach the end of the book, you'll be able to test your knowledge with practice tests with detailed explanations of the correct answers. By the end of this book, you will be armed with the knowledge and confidence to not only pass the DP-900 exam but also have a solid foundation from which to embark on a career in Azure data services. What you will learnExplore the concepts of IaaS and PaaS database services on AzureQuery, insert, update, and delete relational data using SQLExplore the concepts of data warehouses in AzurePerform data analytics with an Azure Synapse Analytics workspaceUpload and retrieve data in Azure Cosmos DB and Azure HDInsightProvision and deploy non-relational data services in AzureContextualize the knowledge with real-life use casesTest your progress with a mock examWho this book is for This book is for data engineers, database administrators, or aspiring data professionals getting ready to take the DP-900 exam. It will also be helpful for those looking for a bit of guidance on how to be better equipped for Azure-related job roles such as Azure database administrator or Azure data engineer. A basic understanding of core data concepts and relational and non-relational data will help you make the most out of this book, but they're not a pre-requisite.
Microsoft Azure
Microsoft is radically simplifying cloud dev and ops in first-of-its-kind Azure Preview portal at portal.azure.com

Microsoft Azure
Sign in to Microsoft Azure to access and manage your cloud resources and services.

Microsoft Azure
Access and manage your Microsoft Azure cloud resources and services.

Microsoft Azure
Sign in to Microsoft Azure to build, deploy, and manage cloud applications and services.

Microsoft Azure
Sign in to access and manage your cloud resources and services with Microsoft Azure.

Microsoft Azure
Access Microsoft Azure to build, deploy, and manage applications with a range of cloud services and tools.

Microsoft Azure
Sign in to Microsoft Azure to manage cloud resources and services with an intuitive user experience.

Microsoft Azure
Access Microsoft Azure to build, deploy, and manage cloud applications and services.

Microsoft Azure
Sign in to Microsoft Azure to build, manage, and deploy applications on a global scale.

Microsoft Azure
Access Microsoft Azure to build, deploy, and manage applications using a range of cloud computing services and tools.

Microsoft Azure
Microsoft is radically simplifying cloud dev and ops in first-of-its-kind Azure Preview portal at portal.azure.com

Microsoft Azure
Sign in to Microsoft Azure to access and manage your cloud resources and services.

Microsoft Azure
Access and manage your Microsoft Azure cloud resources and services.

Microsoft Azure
Sign in to Microsoft Azure to build, deploy, and manage cloud applications and services.

Microsoft Azure
Sign in to access and manage your cloud resources and services with Microsoft Azure.

Microsoft Azure
Access Microsoft Azure to build, deploy, and manage applications with a range of cloud services and tools.

Microsoft Azure
Sign in to Microsoft Azure to manage cloud resources and services with an intuitive user experience.

Microsoft Azure
Access Microsoft Azure to build, deploy, and manage cloud applications and services.

Microsoft Azure
Sign in to Microsoft Azure to build, manage, and deploy applications on a global scale.

Microsoft Azure
Access Microsoft Azure to build, deploy, and manage applications using a range of cloud computing services and tools.