Azure Data Engineer Training Hyderabad

  azure data engineer training hyderabad: Azure Data Engineer Associate Certification Guide Newton Alex, 2022-02-28 Become well-versed with data engineering concepts and exam objectives to achieve Azure Data Engineer Associate certification Key Features Understand and apply data engineering concepts to real-world problems and prepare for the DP-203 certification exam Explore the various Azure services for building end-to-end data solutions Gain a solid understanding of building secure and sustainable data solutions using Azure services Book DescriptionAzure is one of the leading cloud providers in the world, providing numerous services for data hosting and data processing. Most of the companies today are either cloud-native or are migrating to the cloud much faster than ever. This has led to an explosion of data engineering jobs, with aspiring and experienced data engineers trying to outshine each other. Gaining the DP-203: Azure Data Engineer Associate certification is a sure-fire way of showing future employers that you have what it takes to become an Azure Data Engineer. This book will help you prepare for the DP-203 examination in a structured way, covering all the topics specified in the syllabus with detailed explanations and exam tips. The book starts by covering the fundamentals of Azure, and then takes the example of a hypothetical company and walks you through the various stages of building data engineering solutions. Throughout the chapters, you'll learn about the various Azure components involved in building the data systems and will explore them using a wide range of real-world use cases. Finally, you’ll work on sample questions and answers to familiarize yourself with the pattern of the exam. By the end of this Azure book, you'll have gained the confidence you need to pass the DP-203 exam with ease and land your dream job in data engineering.What you will learn Gain intermediate-level knowledge of Azure the data infrastructure Design and implement data lake solutions with batch and stream pipelines Identify the partition strategies available in Azure storage technologies Implement different table geometries in Azure Synapse Analytics Use the transformations available in T-SQL, Spark, and Azure Data Factory Use Azure Databricks or Synapse Spark to process data using Notebooks Design security using RBAC, ACL, encryption, data masking, and more Monitor and optimize data pipelines with debugging tips Who this book is for This book is for data engineers who want to take the DP-203: Azure Data Engineer Associate exam and are looking to gain in-depth knowledge of the Azure cloud stack. The book will also help engineers and product managers who are new to Azure or interviewing with companies working on Azure technologies, to get hands-on experience of Azure data technologies. A basic understanding of cloud technologies, extract, transform, and load (ETL), and databases will help you get the most out of this book.
  azure data engineer training hyderabad: Official Google Cloud Certified Professional Machine Learning Engineer Study Guide Mona Mona, Pratap Ramamurthy, 2023-10-27 Expert, guidance for the Google Cloud Machine Learning certification exam In Google Cloud Certified Professional Machine Learning Study Guide, a team of accomplished artificial intelligence (AI) and machine learning (ML) specialists delivers an expert roadmap to AI and ML on the Google Cloud Platform based on new exam curriculum. With Sybex, you’ll prepare faster and smarter for the Google Cloud Certified Professional Machine Learning Engineer exam and get ready to hit the ground running on your first day at your new job as an ML engineer. The book walks readers through the machine learning process from start to finish, starting with data, feature engineering, model training, and deployment on Google Cloud. It also discusses best practices on when to pick a custom model vs AutoML or pretrained models with Vertex AI platform. All technologies such as Tensorflow, Kubeflow, and Vertex AI are presented by way of real-world scenarios to help you apply the theory to practical examples and show you how IT professionals design, build, and operate secure ML cloud environments. The book also shows you how to: Frame ML problems and architect ML solutions from scratch Banish test anxiety by verifying and checking your progress with built-in self-assessments and other practical tools Use the Sybex online practice environment, complete with practice questions and explanations, a glossary, objective maps, and flash cards A can’t-miss resource for everyone preparing for the Google Cloud Certified Professional Machine Learning certification exam, or for a new career in ML powered by the Google Cloud Platform, this Sybex Study Guide has everything you need to take the next step in your career.
  azure data engineer training hyderabad: Data Lake Analytics on Microsoft Azure Harsh Chawla, Pankaj Khattar, 2020-11-15 Get a 360-degree view of how the journey of data analytics solutions has evolved from monolithic data stores and enterprise data warehouses to data lakes and modern data warehouses. You will This book includes comprehensive coverage of how: To architect data lake analytics solutions by choosing suitable technologies available on Microsoft Azure The advent of microservices applications covering ecommerce or modern solutions built on IoT and how real-time streaming data has completely disrupted this ecosystem These data analytics solutions have been transformed from solely understanding the trends from historical data to building predictions by infusing machine learning technologies into the solutions Data platform professionals who have been working on relational data stores, non-relational data stores, and big data technologies will find the content in this book useful. The book also can help you start your journey into the data engineer world as it provides an overview of advanced data analytics and touches on data science concepts and various artificial intelligence and machine learning technologies available on Microsoft Azure. What Will You Learn You will understand the: Concepts of data lake analytics, the modern data warehouse, and advanced data analytics Architecture patterns of the modern data warehouse and advanced data analytics solutions Phases—such as Data Ingestion, Store, Prep and Train, and Model and Serve—of data analytics solutions and technology choices available on Azure under each phase In-depth coverage of real-time and batch mode data analytics solutions architecture Various managed services available on Azure such as Synapse analytics, event hubs, Stream analytics, CosmosDB, and managed Hadoop services such as Databricks and HDInsight Who This Book Is For Data platform professionals, database architects, engineers, and solution architects
  azure data engineer training hyderabad: 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 engineer training hyderabad: Microsoft Azure Security Center Yuri Diogenes, Tom Shinder, 2018-06-04 Discover high-value Azure security insights, tips, and operational optimizations This book presents comprehensive Azure Security Center techniques for safeguarding cloud and hybrid environments. Leading Microsoft security and cloud experts Yuri Diogenes and Dr. Thomas Shinder show how to apply Azure Security Center’s full spectrum of features and capabilities to address protection, detection, and response in key operational scenarios. You’ll learn how to secure any Azure workload, and optimize virtually all facets of modern security, from policies and identity to incident response and risk management. Whatever your role in Azure security, you’ll learn how to save hours, days, or even weeks by solving problems in most efficient, reliable ways possible. Two of Microsoft’s leading cloud security experts show how to: • Assess the impact of cloud and hybrid environments on security, compliance, operations, data protection, and risk management • Master a new security paradigm for a world without traditional perimeters • Gain visibility and control to secure compute, network, storage, and application workloads • Incorporate Azure Security Center into your security operations center • Integrate Azure Security Center with Azure AD Identity Protection Center and third-party solutions • Adapt Azure Security Center’s built-in policies and definitions for your organization • Perform security assessments and implement Azure Security Center recommendations • Use incident response features to detect, investigate, and address threats • Create high-fidelity fusion alerts to focus attention on your most urgent security issues • Implement application whitelisting and just-in-time VM access • Monitor user behavior and access, and investigate compromised or misused credentials • Customize and perform operating system security baseline assessments • Leverage integrated threat intelligence to identify known bad actors
  azure data engineer training hyderabad: Data Science Using Python and R Chantal D. Larose, Daniel T. Larose, 2019-04-09 Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to produce hands-on solutions to real-world business problems, using state-of-the-art techniques. Data Science Using Python and R is written for the general reader with no previous analytics or programming experience. An entire chapter is dedicated to learning the basics of Python and R. Then, each chapter presents step-by-step instructions and walkthroughs for solving data science problems using Python and R. Those with analytics experience will appreciate having a one-stop shop for learning how to do data science using Python and R. Topics covered include data preparation, exploratory data analysis, preparing to model the data, decision trees, model evaluation, misclassification costs, naïve Bayes classification, neural networks, clustering, regression modeling, dimension reduction, and association rules mining. Further, exciting new topics such as random forests and general linear models are also included. The book emphasizes data-driven error costs to enhance profitability, which avoids the common pitfalls that may cost a company millions of dollars. Data Science Using Python and R provides exercises at the end of every chapter, totaling over 500 exercises in the book. Readers will therefore have plenty of opportunity to test their newfound data science skills and expertise. In the Hands-on Analysis exercises, readers are challenged to solve interesting business problems using real-world data sets.
  azure data engineer training hyderabad: Software Engineering at Google Titus Winters, Tom Manshreck, Hyrum Wright, 2020-02-28 Today, software engineers need to know not only how to program effectively but also how to develop proper engineering practices to make their codebase sustainable and healthy. This book emphasizes this difference between programming and software engineering. How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the worldâ??s leading practitioners construct and maintain software. This book covers Googleâ??s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization. Youâ??ll explore three fundamental principles that software organizations should keep in mind when designing, architecting, writing, and maintaining code: How time affects the sustainability of software and how to make your code resilient over time How scale affects the viability of software practices within an engineering organization What trade-offs a typical engineer needs to make when evaluating design and development decisions
  azure data engineer training hyderabad: Microsoft Exchange Server Training Kay Unkroth, 1998 Providing an introduction to the core technologies of Microsoft Exchange Server, this book shows how to implement and administer Microsoft Exchange in a single-site or multiple-site environment. The kit covers installing and configuring the Microsoft Outlook desktop information manager client. Cover Title
  azure data engineer training hyderabad: Professional Hadoop Solutions Boris Lublinsky, Kevin T. Smith, Alexey Yakubovich, 2013-09-12 The go-to guidebook for deploying Big Data solutions with Hadoop Today's enterprise architects need to understand how the Hadoop frameworks and APIs fit together, and how they can be integrated to deliver real-world solutions. This book is a practical, detailed guide to building and implementing those solutions, with code-level instruction in the popular Wrox tradition. It covers storing data with HDFS and Hbase, processing data with MapReduce, and automating data processing with Oozie. Hadoop security, running Hadoop with Amazon Web Services, best practices, and automating Hadoop processes in real time are also covered in depth. With in-depth code examples in Java and XML and the latest on recent additions to the Hadoop ecosystem, this complete resource also covers the use of APIs, exposing their inner workings and allowing architects and developers to better leverage and customize them. The ultimate guide for developers, designers, and architects who need to build and deploy Hadoop applications Covers storing and processing data with various technologies, automating data processing, Hadoop security, and delivering real-time solutions Includes detailed, real-world examples and code-level guidelines Explains when, why, and how to use these tools effectively Written by a team of Hadoop experts in the programmer-to-programmer Wrox style Professional Hadoop Solutions is the reference enterprise architects and developers need to maximize the power of Hadoop.
  azure data engineer training hyderabad: Introduction to Data Science Rafael A. Irizarry, 2019-11-20 Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.
  azure data engineer training hyderabad: Spark Cookbook Rishi Yadav, 2015-07-27 By introducing in-memory persistent storage, Apache Spark eliminates the need to store intermediate data in filesystems, thereby increasing processing speed by up to 100 times. This book will focus on how to analyze large and complex sets of data. Starting with installing and configuring Apache Spark with various cluster managers, you will cover setting up development environments. You will then cover various recipes to perform interactive queries using Spark SQL and real-time streaming with various sources such as Twitter Stream and Apache Kafka. You will then focus on machine learning, including supervised learning, unsupervised learning, and recommendation engine algorithms. After mastering graph processing using GraphX, you will cover various recipes for cluster optimization and troubleshooting.
  azure data engineer training hyderabad: Serverless Computing Using Azure Functions Varun Kumar, Ketan Agnihotri, 2021-07-26 A complete end-to-end guide to implement Azure Functions and serverless orchestration with the help of various use cases. KEY FEATURES ● Step-by-step guide along with code snippets and screenshots to master the topics. ● Easy handbook to brush up the fundamental concepts and advanced topics of Serverless computing. ● Includes real use-cases and numerous scenarios on creating Azure functions, its security, deployment, and troubleshooting them. ● Understand how to monitor, troubleshoot, and perform advanced level diagnostics on Azure functions. DESCRIPTION Serverless is the current ongoing trend in the cloud industry that allows you to focus on code without worrying about the underlying infrastructure and helps in cost optimizations by providing pay for what you use. This book provides a practical mentoring with a step-by-step guide on how to create and work on Azure functions. You will be benefited with various use cases, illustrations, and visual representation to address complex problems around serverless computing. The book will help you to integrate Azure functions with other Azure services, seamlessly, without the need of writing much code. The book brings exclusive coverage on managing the deployment and security of the Azure functions. You will learn how to use different methods to monitor the Azure functions and how to perform correct diagnostics and troubleshooting without the use of any third-party integrations. Towards the end of this book, you also learn to create rich dashboards and visualizations using Power BI to monitor and run analytics on Azure functions. WHAT YOU WILL LEARN ● Learn to easily create Azure functions using multiple tools and options. ● Learn to use triggers and bindings for integrating Azure functions with other Azure services. ● Get to know how to orchestrate the serverless workflow using Azure Durable functions. ● Learn to practice security mechanisms to secure Azure functions in the production environment. ● Learn to build CD pipelines for deploying Azure functions using DevOps tools. WHO THIS BOOK IS FOR This book is for developers, DevOps engineers, technical specialists, architects and consultants at all levels, who want to build and deploy serverless applications with Azure functions. Some prior experience with C# (for developers) and fundamental Microsoft Azure services will help you to make the most of this book. However, the book is intended for each type of cloud-specific role. TABLE OF CONTENTS 1. Overview of Azure and Serverless Computing 2. Introduction to Azure Functions 3. Creating Your First Function 4. Azure Functions Triggers and Bindings 5. Durable Functions and Orchestration 6. Configuring Security for Azure Functions Security 7. Continuous Deployment for Azure Functions 8. Troubleshooting and Monitoring Azure Functions
  azure data engineer training hyderabad: Tiny Habits B. J. Fogg, 2020 The world's leading expert on habit formation shows how you can have a happier, healthier life: by starting small. Myth: Change is hard. Reality: Change can be easy if you know the simple steps of Behavior Design. Myth: It's all about willpower. Reality: Willpower is fickle and finite, and exactly the wrong way to create habits. Myth: You have to make a plan and stick to it. Reality: You transform your life by starting small and being flexible. BJ FOGG is here to change your life--and revolutionize how we think about human behavior. Based on twenty years of research and Fogg's experience coaching more than 40,000 people, Tiny Habits cracks the code of habit formation. With breakthrough discoveries in every chapter, you'll learn the simplest proven ways to transform your life. Fogg shows you how to feel good about your successes instead of bad about your failures. Whether you want to lose weight, de-stress, sleep better, or be more productive each day, Tiny Habits makes it easy to achieve. Already the habit guru to companies around the world, Fogg brings his proven method to a global audience for the first time. Whether you want to lose weight, de-stress, sleep better, or exercise more, Tiny Habits makes it easy to achieve.
  azure data engineer training hyderabad: Doing Data Science Cathy O'Neil, Rachel Schutt, 2013-10-09 Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science. Topics include: Statistical inference, exploratory data analysis, and the data science process Algorithms Spam filters, Naive Bayes, and data wrangling Logistic regression Financial modeling Recommendation engines and causality Data visualization Social networks and data journalism Data engineering, MapReduce, Pregel, and Hadoop Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.
  azure data engineer training hyderabad: Optimizing Databricks Workloads Anirudh Kala, Anshul Bhatnagar, Sarthak Sarbahi, 2021-12-24 Accelerate computations and make the most of your data effectively and efficiently on Databricks Key FeaturesUnderstand Spark optimizations for big data workloads and maximizing performanceBuild efficient big data engineering pipelines with Databricks and Delta LakeEfficiently manage Spark clusters for big data processingBook Description Databricks is an industry-leading, cloud-based platform for data analytics, data science, and data engineering supporting thousands of organizations across the world in their data journey. It is a fast, easy, and collaborative Apache Spark-based big data analytics platform for data science and data engineering in the cloud. In Optimizing Databricks Workloads, you will get started with a brief introduction to Azure Databricks and quickly begin to understand the important optimization techniques. The book covers how to select the optimal Spark cluster configuration for running big data processing and workloads in Databricks, some very useful optimization techniques for Spark DataFrames, best practices for optimizing Delta Lake, and techniques to optimize Spark jobs through Spark core. It contains an opportunity to learn about some of the real-world scenarios where optimizing workloads in Databricks has helped organizations increase performance and save costs across various domains. By the end of this book, you will be prepared with the necessary toolkit to speed up your Spark jobs and process your data more efficiently. What you will learnGet to grips with Spark fundamentals and the Databricks platformProcess big data using the Spark DataFrame API with Delta LakeAnalyze data using graph processing in DatabricksUse MLflow to manage machine learning life cycles in DatabricksFind out how to choose the right cluster configuration for your workloadsExplore file compaction and clustering methods to tune Delta tablesDiscover advanced optimization techniques to speed up Spark jobsWho this book is for This book is for data engineers, data scientists, and cloud architects who have working knowledge of Spark/Databricks and some basic understanding of data engineering principles. Readers will need to have a working knowledge of Python, and some experience of SQL in PySpark and Spark SQL is beneficial.
  azure data engineer training hyderabad: Expert Hadoop Administration Sam R. Alapati, 2016-11-29 This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. The Comprehensive, Up-to-Date Apache Hadoop Administration Handbook and Reference “Sam Alapati has worked with production Hadoop clusters for six years. His unique depth of experience has enabled him to write the go-to resource for all administrators looking to spec, size, expand, and secure production Hadoop clusters of any size.” —Paul Dix, Series Editor In Expert Hadoop® Administration, leading Hadoop administrator Sam R. Alapati brings together authoritative knowledge for creating, configuring, securing, managing, and optimizing production Hadoop clusters in any environment. Drawing on his experience with large-scale Hadoop administration, Alapati integrates action-oriented advice with carefully researched explanations of both problems and solutions. He covers an unmatched range of topics and offers an unparalleled collection of realistic examples. Alapati demystifies complex Hadoop environments, helping you understand exactly what happens behind the scenes when you administer your cluster. You’ll gain unprecedented insight as you walk through building clusters from scratch and configuring high availability, performance, security, encryption, and other key attributes. The high-value administration skills you learn here will be indispensable no matter what Hadoop distribution you use or what Hadoop applications you run. Understand Hadoop’s architecture from an administrator’s standpoint Create simple and fully distributed clusters Run MapReduce and Spark applications in a Hadoop cluster Manage and protect Hadoop data and high availability Work with HDFS commands, file permissions, and storage management Move data, and use YARN to allocate resources and schedule jobs Manage job workflows with Oozie and Hue Secure, monitor, log, and optimize Hadoop Benchmark and troubleshoot Hadoop
  azure data engineer training hyderabad: Learning Deep Learning Magnus Ekman, 2021-07-19 NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals. -- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA Ekman uses a learning technique that in our experience has proven pivotal to success—asking the reader to think about using DL techniques in practice. His straightforward approach is refreshing, and he permits the reader to dream, just a bit, about where DL may yet take us. -- From the foreword by Dr. Craig Clawson, Director, NVIDIA Deep Learning Institute Deep learning (DL) is a key component of today's exciting advances in machine learning and artificial intelligence. Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience. After introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers, Magnus Ekman shows how to use them to build advanced architectures, including the Transformer. He describes how these concepts are used to build modern networks for computer vision and natural language processing (NLP), including Mask R-CNN, GPT, and BERT. And he explains how a natural language translator and a system generating natural language descriptions of images. Throughout, Ekman provides concise, well-annotated code examples using TensorFlow with Keras. Corresponding PyTorch examples are provided online, and the book thereby covers the two dominating Python libraries for DL used in industry and academia. He concludes with an introduction to neural architecture search (NAS), exploring important ethical issues and providing resources for further learning. Explore and master core concepts: perceptrons, gradient-based learning, sigmoid neurons, and back propagation See how DL frameworks make it easier to develop more complicated and useful neural networks Discover how convolutional neural networks (CNNs) revolutionize image classification and analysis Apply recurrent neural networks (RNNs) and long short-term memory (LSTM) to text and other variable-length sequences Master NLP with sequence-to-sequence networks and the Transformer architecture Build applications for natural language translation and image captioning NVIDIA's invention of the GPU sparked the PC gaming market. The company's pioneering work in accelerated computing--a supercharged form of computing at the intersection of computer graphics, high-performance computing, and AI--is reshaping trillion-dollar industries, such as transportation, healthcare, and manufacturing, and fueling the growth of many others. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
  azure data engineer training hyderabad: Sales Engagement Manny Medina, Max Altschuler, Mark Kosoglow, 2019-03-12 Engage in sales—the modern way Sales Engagement is how you engage and interact with your potential buyer to create connection, grab attention, and generate enough interest to create a buying opportunity. Sales Engagement details the modern way to build the top of the funnel and generate qualified leads for B2B companies. This book explores why a Sales Engagement strategy is so important, and walks you through the modern sales process to ensure you’re effectively connecting with customers every step of the way. • Find common factors holding your sales back—and reverse them through channel optimization • Humanize sales with personas and relevant information at every turn • Understand why A/B testing is so incredibly critical to success, and how to do it right • Take your sales process to the next level with a rock solid, modern Sales Engagement strategy This book is essential reading for anyone interested in up-leveling their game and doing more than they ever thought possible.
  azure data engineer training hyderabad: Azure for Architects Ritesh Modi, Jack Lee, Rithin Skaria, 2020-07-17 Build and design multiple types of applications that are cross-language, platform, and cost-effective by understanding core Azure principles and foundational concepts Key FeaturesGet familiar with the different design patterns available in Microsoft AzureDevelop Azure cloud architecture and a pipeline management systemGet to know the security best practices for your Azure deploymentBook Description Thanks to its support for high availability, scalability, security, performance, and disaster recovery, Azure has been widely adopted to create and deploy different types of application with ease. Updated for the latest developments, this third edition of Azure for Architects helps you get to grips with the core concepts of designing serverless architecture, including containers, Kubernetes deployments, and big data solutions. You'll learn how to architect solutions such as serverless functions, you'll discover deployment patterns for containers and Kubernetes, and you'll explore large-scale big data processing using Spark and Databricks. As you advance, you'll implement DevOps using Azure DevOps, work with intelligent solutions using Azure Cognitive Services, and integrate security, high availability, and scalability into each solution. Finally, you'll delve into Azure security concepts such as OAuth, OpenConnect, and managed identities. By the end of this book, you'll have gained the confidence to design intelligent Azure solutions based on containers and serverless functions. What you will learnUnderstand the components of the Azure cloud platformUse cloud design patternsUse enterprise security guidelines for your Azure deploymentDesign and implement serverless and integration solutionsBuild efficient data solutions on AzureUnderstand container services on AzureWho this book is for If you are a cloud architect, DevOps engineer, or a developer looking to learn about the key architectural aspects of the Azure cloud platform, this book is for you. A basic understanding of the Azure cloud platform will help you grasp the concepts covered in this book more effectively.
  azure data engineer training hyderabad: Azure Data Engineer Associate Certification Guide Giacinto Palmieri, Surendra Mettapalli, Newton Alex, 2024-05-23 Achieve Azure Data Engineer Associate certification success with this DP-203 exam guide Purchase of this book unlocks access to web-based exam prep resources including mock exams, flashcards, and exam tips, and the eBook PDF Key Features Prepare for the DP-203 exam with expert insights, real-world examples, and practice resources Gain up-to-date skills to thrive in the dynamic world of cloud data engineering Build secure and sustainable data solutions using Azure services Book DescriptionOne of the top global cloud providers, Azure offers extensive data hosting and processing services, driving widespread cloud adoption and creating a high demand for skilled data engineers. The Azure Data Engineer Associate (DP-203) certification is a vital credential, demonstrating your proficiency as an Azure data engineer to prospective employers. This comprehensive exam guide is designed for both beginners and seasoned professionals, aligned with the latest DP-203 certification exam, to help you pass the exam on your first try. The book provides a foundational understanding of IaaS, PaaS, and SaaS, starting with core concepts like virtual machines (VMs), VNETS, and App Services and progressing to advanced topics such as data storage, processing, and security. What sets this exam guide apart is its hands-on approach, seamlessly integrating theory with practice through real-world examples, practical exercises, and insights into Azure's evolving ecosystem. Additionally, you'll unlock lifetime access to supplementary practice material on an online platform, including mock exams, interactive flashcards, and exam tips, ensuring a comprehensive exam prep experience. By the end of this book, you’ll not only be ready to excel in the DP-203 exam, but also be equipped to tackle complex challenges as an Azure data engineer.What you will learn Design and implement data lake solutions with batch and stream pipelines Secure data with masking, encryption, RBAC, and ACLs Perform standard extract, transform, and load (ETL) and analytics operations Implement different table geometries in Azure Synapse Analytics Write Spark code, design ADF pipelines, and handle batch and stream data Use Azure Databricks or Synapse Spark for data processing using Notebooks Leverage Synapse Analytics and Purview for comprehensive data exploration Confidently manage VMs, VNETS, App Services, and more Who this book is for This book is for data engineers who want to take the Azure Data Engineer Associate (DP-203) exam and delve deep into the Azure cloud stack. Engineers and product managers new to Azure or preparing for interviews with companies working on Azure technologies will find invaluable hands-on experience with Azure data technologies through this book. A basic understanding of cloud technologies, ETL, and databases will assist with understanding the concepts covered.
  azure data engineer training hyderabad: Limitless Analytics with Azure Synapse Prashant Kumar Mishra, Mukesh Kumar, 2021-06-18 Leverage the Azure analytics platform's key analytics services to deliver unmatched intelligence for your data Key FeaturesLearn to ingest, prepare, manage, and serve data for immediate business requirementsBring enterprise data warehousing and big data analytics together to gain insights from your dataDevelop end-to-end analytics solutions using Azure SynapseBook Description Azure Synapse Analytics, which Microsoft describes as the next evolution of Azure SQL Data Warehouse, is a limitless analytics service that brings enterprise data warehousing and big data analytics together. With this book, you'll learn how to discover insights from your data effectively using this platform. The book starts with an overview of Azure Synapse Analytics, its architecture, and how it can be used to improve business intelligence and machine learning capabilities. Next, you'll go on to choose and set up the correct environment for your business problem. You'll also learn a variety of ways to ingest data from various sources and orchestrate the data using transformation techniques offered by Azure Synapse. Later, you'll explore how to handle both relational and non-relational data using the SQL language. As you progress, you'll perform real-time streaming and execute data analysis operations on your data using various languages, before going on to apply ML techniques to derive accurate and granular insights from data. Finally, you'll discover how to protect sensitive data in real time by using security and privacy features. By the end of this Azure book, you'll be able to build end-to-end analytics solutions while focusing on data prep, data management, data warehousing, and AI tasks. What you will learnExplore the necessary considerations for data ingestion and orchestration while building analytical pipelinesUnderstand pipelines and activities in Synapse pipelines and use them to construct end-to-end data-driven workflowsQuery data using various coding languages on Azure SynapseFocus on Synapse SQL and Synapse SparkManage and monitor resource utilization and query activity in Azure SynapseConnect Power BI workspaces with Azure Synapse and create or modify reports directly from Synapse StudioCreate and manage IP firewall rules in Azure SynapseWho this book is for This book is for data architects, data scientists, data engineers, and business analysts who are looking to get up and running with the Azure Synapse Analytics platform. Basic knowledge of data warehousing will be beneficial to help you understand the concepts covered in this book more effectively.
  azure data engineer training hyderabad: Data Science with Machine Learning Narayanan Vishwanathan, 2019-09-20 Starts with statistics then goes towards Core Python followed by numpy to pandas to scipy and sklearnKey features Easy to learn, step by step explanation of examples. Questions related to core/basic Python, Excel, basic and advanced statistics are included. Covers numpy, scipy, sklearn and pandas to a greater detail with good number of examples Description The book e;Data science with Machine learning- Python interview questionse; is a true companion of people aspiring for data science and machine learning and provides answers to mostly asked questions in a easy to remember and presentable form.Data science is one of the hottest topics mainly because of the application areas it is involved and things which were once upon of time, impossible with earlier software has been made easy. This book is mainly intended to be used as last-minute revision, before interview, as all the important concepts have been given in simple and understand format. Many examples have been provided so that same can be used while giving answers in interview.This book tries to include various terminologies and logic used both as a part of Data Science and Machine learning for last minute revision. As such you can say that this book acts as a companion whenever you want to go for interview.Simple to use words have been used in the answers for the questions to help ease of remembering and representation of same. Examples where ever deemed necessary have been provided so that same can be used while giving answers in interview. Author tried to consolidate whatever he came across, on multiple interviews that he attended and put the same in words so that it becomes easy for the reader of the book to give direction on how the interview would be.With the number of data science jobs increasing, Author is sure that everyone who wants to pursue this field would like to keep this book as a constant companion. What will you learn You can learn the basic concept and terms related to Data Science You will get to learn how to program in python You can learn the basic questions of python programming By reading this book you can get to know the basics of Numpy You will get familiarity with the questions asked in interview related to Pandas. You will learn the concepts of Scipy, Matplotib, and Statistics with Excel Sheet Who this book is forThe book is intended for anyone wish to learn Python Data Science, Numpy, Pandas, Scipy, Matplotib and Statistics with Excel Sheet. This book content also covers the basic questions which are asked during an interview. This book is mainly intended to help people represent their answer in a sensible way to the interviewer. The answers have been carefully rendered in a way to make things quite simple and yet represent the seriousness and complexity of matter. Since data science is incomplete without mathematics we have also included a part of the book dedicated to statistics. Table of contents1. Data Science Basic Questions and Terms2. Python Programming Questions3. Numpy Interview Questions4. Pandas Interview Questions5. Scipy and its Applications6. Matplotlib Samples to Remember7. Statistics with Excel Sheet About the authorMr Vishwanathan has twenty years of hard code experience in software industry spanning across many multinational companies and domains. Playing with data to derive meaningful insights has been his domain and that is what took him towards data science and machine learning.
  azure data engineer training hyderabad: The ASQ Certified Quality Auditor Handbook Lance B. Coleman, 2020-02-01 The value of the ASQ Certified Quality Auditor Handbook, Fifth Edition, is clear. It is designed to help new auditors gain an understanding of the field and prepare for the ASQ CQA exam. In addition, experienced auditors can refer to it as a helpful reference; audit managers and quality managers can rely on it for guiding their auditing programs; and trainers and educators can use it for teaching fundamentals. This in-depth overview of quality auditing represents auditing practices for internal and external applications. It provides practical guidance for both system and process auditors as well. Many current topics have been expanded to reflect changes in auditing practices since 2012, with guidance from the recent 2017 update of ISO 19011. In addition, readers will find example audit situations, stories, and review comments to enhance their understanding of the field. Topics covered include the common elements of all types of system and process audits (quality, environmental, safety, and health): Auditing fundamentals, including types of quality audits, purpose and scope of auditing, terms and definitions, roles and responsibilities of participants, and professional conduct The audit process, from preparation and planning, to performance and reporting, to follow-up and closure Auditor competencies, including resource management, conflict resolution, communication, interviewing, and team dynamics Audit program management and business applications, including staffing, training and development, program evaluation, organizational risk management, and best practices Quality tools and techniques, including problem-solving tools, process improvement techniques, basic statistics, verification, and validation This book is an encyclopedia of all major bodies of information a new or experienced quality auditor would need. It covers both the qualitative and the quantitative, which is a strength. I can't think of a quality auditor that would not find this work helpful. Kim H. Pries, CRE, CQE, CSQE, CSSBB, CMQ/OE, CQA This handbook will be helpful to those who are new to auditing or require more in-depth knowledge of the implementation of an audit program. Boxed examples or scenarios provide some of the practical challenges encountered during auditing. Govind Ramu, ASQ Fellow, Co-Author ASQ SSGB Handbook, Author ASQ CSSYB Handbook Lance B. Coleman, Sr. has over 25 years of leadership experience in the areas of quality engineering, Lean implementation, quality, and risk management in the Medical Device, Aerospace, and other regulated industries. He has presented, trained, and consulted throughout the United States and abroad. Lance is currently a Director of Quality for IDEX Health and Science, LLC, in Oak Harbor, Washington.
  azure data engineer training hyderabad: Exam Ref AZ-103 Microsoft Azure Administrator Michael Washam, Jonathan Tuliani, Scott Hoag, 2019-01-02 Prepare for Microsoft Exam AZ-103—and help demonstrate your real-world mastery of deploying and managing infrastructure in Microsoft Azure cloud environments. Designed for experienced cloud professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Associate level. Focus on the expertise measured by these objectives: Manage Azure subscriptions and resources Implement and manage storage Deploy and manage virtual machines (VMs) Configure and manage virtual networks Manage identities This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are an experienced Azure administrator who understands and manages diverse storage, security, networking and/or compute cloud services About the Exam Exam AZ-103 focuses on skills and knowledge needed to manage Azure subscriptions; analyze resource utilization and consumption; manage resource groups; establish storage accounts; import/export data; configure Azure files; implement backup; create, configure, and automate VM deployment; manage VMs and VM backups; implement, manage, and connect virtual networks; configure name resolution; create and configure Network Security Groups; manage Azure AD and its objects; and implement and manage hybrid identities. About Microsoft Certification Passing exam AZ-103 earns your Microsoft Certified: Azure Administrator Associate certification, demonstrating your skills in implementing, monitoring, and maintaining Microsoft Azure solutions, including major services related to compute, storage, network, and security.
  azure data engineer training hyderabad: The ASQ Certified Manager of Quality/Organizational Excellence Handbook Sandra L Furterer, Douglas C Wood, 2021-01-25 This handbook is a comprehensive reference designed to help professionals address organizational issues from the application of the basic principles of management to the development of strategies needed to deal with today’s technological and societal concerns. The fifth edition of the ASQ Certified Manager of Quality/Organizational Excellence Handbook (CMQ/OE) has undergone some significant content changes in order to provide more clarity regarding the items in the body of knowledge (BoK). Examples have been updated to reflect more current perspectives, and new topics introduced in the most recent BoK are included as well. This handbook addresses: • Historical perspectives relating to the continued improvement of specific aspects of quality management • Key principles, concepts, and terminology • Benefits associated with the application of key concepts and quality management principles • Best practices describing recognized approaches for good quality management • Barriers to success, common problems you may encounter, and reasons why some quality initiatives fail • Guidance for preparation to take the CMQ/OE examination A well-organized reference, this handbook will certainly help individuals prepare for the ASQ CMQ/OE exam. It also serves as a practical, day-to-day guide for any professional facing various quality management challenges.
  azure data engineer training hyderabad: Microsoft Azure Machine Learning Sumit Mund, 2015-06-16 This book provides you with the skills necessary to get started with Azure Machine Learning to build predictive models as quickly as possible, in a very intuitive way, whether you are completely new to predictive analysis or an existing practitioner. The book starts by exploring ML Studio, the browser-based development environment, and explores the first step—data exploration and visualization. You will then build different predictive models using both supervised and unsupervised algorithms, including a simple recommender system. The focus then shifts to learning how to deploy a model to production and publishing it as an API. The book ends with a couple of case studies using all the concepts and skills you have learned throughout the book to solve real-world problems.
  azure data engineer training hyderabad: Hit Refresh Satya Nadella, 2018-09-28 Microsoft dikenal sebagai salah satu penyokong besar revolusi digital. Tanpanya, kita semua tak akan menikmati betapa cepat dan nyamannya bekerja menggunakan personal computer. Namun, seiring berjalannya waktu, dunia komputasi mengalami perubahan yang luar biasa cepat. Tanpa inovasi yang benar-benar spektakuler, perusahaan ini diramalkan tak akan mampu mempertahankan popularitasnya. Inovasi tergantikan birokrasi. Kerja tim tergantikan politik internal. Microsoft mulai tertinggal. Hit Refresh berkisah tentang transformasi terbesar yang tengah berlangsung dalam tubuh Microsoft di bawah kepemimpinan Satya Nadella, sang CEO. Selama ini, ketika mendengar kata Microsoft, orang akan langsung mengaitkannya dengan Bill Gates yang cemerlang atau Steve Ballmer yang super energik. Nadella nyaris tak masuk ke radar para selebritas teknologi. Namun dalam tahun-tahun pertamanya memimpin, Nadella melakukan banyak gebrakan baru. Salah satunya adalah menciptakan budaya perusahaan yang menggabungkan antara empati dan teknologi. Dia juga membuat pertaruhan besar dalam beberapa teknologi kunci, seperti artificial intelligence (AI atau kecerdasan buatan) dan cloud computing (komputasi awan), yang membuat Microsoft menjadi unik. Di tangan Nadella, Microsoft mengubah fokusnya dari sekadar perusahaan pencari keuntungan menjadi perusahaan humanis yang berkontribusi bagi masa depan umat manusia. [Mizan, Bentang Pustaka, Pengembangan Diri, Motivasi, Inovasi, Remaja, Dewasa, Indonesia]
  azure data engineer training hyderabad: Exam Ref 70-534 Architecting Microsoft Azure Solutions Haishi Bai, Steve Maier, Dan Stolts, 2015-05-15 Prepare for Microsoft Exam 70-534--and help demonstrate your real-world mastery of Microsoft Azure solution design and architecture. Designed for experienced IT pros ready to advance their status, Exam Ref focuses on the critical-thinking and decision-making acumen needed for success at the Microsoft Specialist level. Focus on the expertise measured by these objectives: Describe Microsoft Azure infrastructure and networking Help secure resources Design an application storage and data access strategy Design an advanced application Design websites Design a management, monitoring, and business continuity strategy This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience designing Microsoft Azure cloud or hybrid solutions and supporting application life cycle management
  azure data engineer training hyderabad: The Data Warehouse Toolkit Ralph Kimball, Margy Ross, 2011-08-08 This old edition was published in 2002. The current and final edition of this book is The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition which was published in 2013 under ISBN: 9781118530801. The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including: Retail sales and e-commerce Inventory management Procurement Order management Customer relationship management (CRM) Human resources management Accounting Financial services Telecommunications and utilities Education Transportation Health care and insurance By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts.
  azure data engineer training hyderabad: Deep Learning Applications, Volume 2 M. Arif Wani, Taghi Khoshgoftaar, Vasile Palade, 2020-12-14 This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers.
  azure data engineer training hyderabad: Rise of the Data Cloud Frank Slootman, Steve Hamm, 2020-12-18 The rise of the Data Cloud is ushering in a new era of computing. The world’s digital data is mass migrating to the cloud, where it can be more effectively integrated, managed, and mobilized. The data cloud eliminates data siloes and enables data sharing with business partners, capitalizing on data network effects. It democratizes data analytics, making the most sophisticated data science tools accessible to organizations of all sizes. Data exchanges enable businesses to discover, explore, and easily purchase or sell data—opening up new revenue streams. Business leaders have long dreamed of data driving their organizations. Now, thanks to the Data Cloud, nothing stands in their way.
  azure data engineer training hyderabad: Artificial Intelligence with Python Prateek Joshi, 2017-01-27 Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
  azure data engineer training hyderabad: The Definitive Guide to DAX Alberto Ferrari, Marco Russo, 2015-10-14 This comprehensive and authoritative guide will teach you the DAX language for business intelligence, data modeling, and analytics. Leading Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization. You’ll learn exactly what happens under the hood when you run a DAX expression, how DAX behaves differently from other languages, and how to use this knowledge to write fast, robust code. If you want to leverage all of DAX’s remarkable power and flexibility, this no-compromise “deep dive” is exactly what you need. Perform powerful data analysis with DAX for Microsoft SQL Server Analysis Services, Excel, and Power BI Master core DAX concepts, including calculated columns, measures, and error handling Understand evaluation contexts and the CALCULATE and CALCULATETABLE functions Perform time-based calculations: YTD, MTD, previous year, working days, and more Work with expanded tables, complex functions, and elaborate DAX expressions Perform calculations over hierarchies, including parent/child hierarchies Use DAX to express diverse and unusual relationships Measure DAX query performance with SQL Server Profiler and DAX Studio
  azure data engineer training hyderabad: The Docker Book James Turnbull, 2014-07-14 Updated for Docker Community Edition v18.09! Docker book designed for SysAdmins, SREs, Operations staff, Developers and DevOps who are interested in deploying the open source container service Docker. In this book, we'll walk you through installing, deploying, managing, and extending Docker. We're going to do that by first introducing you to the basics of Docker and its components. Then we'll start to use Docker to build containers and services to perform a variety of tasks. We're going to take you through the development lifecycle, from testing to production, and see where Docker fits in and how it can make your life easier. We'll make use of Docker to build test environments for new projects, demonstrate how to integrate Docker with continuous integration workflow, and then how to build application services and platforms. Finally, we'll show you how to use Docker's API and how to extend Docker yourself. We'll teach you how to: * Install Docker. * Take your first steps with a Docker container. * Build Docker images. * Manage and share Docker images. * Run and manage more complex Docker containers. * Deploy Docker containers as part of your testing pipeline. * Build multi-container applications and environments. * Learn about orchestration using Compose and Swarm for the orchestration of Docker containers and Consul for service discovery. * Explore the Docker API. * Getting Help and Extending Docker.
  azure data engineer training hyderabad: Data Science for Marketing Analytics Mirza Rahim Baig, Gururajan Govindan, Vishwesh Ravi Shrimali, 2021-09-07 Turbocharge your marketing plans by making the leap from simple descriptive statistics in Excel to sophisticated predictive analytics with the Python programming language Key FeaturesUse data analytics and machine learning in a sales and marketing contextGain insights from data to make better business decisionsBuild your experience and confidence with realistic hands-on practiceBook Description Unleash the power of data to reach your marketing goals with this practical guide to data science for business. This book will help you get started on your journey to becoming a master of marketing analytics with Python. You'll work with relevant datasets and build your practical skills by tackling engaging exercises and activities that simulate real-world market analysis projects. You'll learn to think like a data scientist, build your problem-solving skills, and discover how to look at data in new ways to deliver business insights and make intelligent data-driven decisions. As well as learning how to clean, explore, and visualize data, you'll implement machine learning algorithms and build models to make predictions. As you work through the book, you'll use Python tools to analyze sales, visualize advertising data, predict revenue, address customer churn, and implement customer segmentation to understand behavior. By the end of this book, you'll have the knowledge, skills, and confidence to implement data science and machine learning techniques to better understand your marketing data and improve your decision-making. What you will learnLoad, clean, and explore sales and marketing data using pandasForm and test hypotheses using real data sets and analytics toolsVisualize patterns in customer behavior using MatplotlibUse advanced machine learning models like random forest and SVMUse various unsupervised learning algorithms for customer segmentationUse supervised learning techniques for sales predictionEvaluate and compare different models to get the best outcomesOptimize models with hyperparameter tuning and SMOTEWho this book is for This marketing book is for anyone who wants to learn how to use Python for cutting-edge marketing analytics. Whether you're a developer who wants to move into marketing, or a marketing analyst who wants to learn more sophisticated tools and techniques, this book will get you on the right path. Basic prior knowledge of Python and experience working with data will help you access this book more easily.
  azure data engineer training hyderabad: The TOGAF® Standard, Version 9.2 The Open Group, 2018-04-16 The TOGAF standard is a framework - a detailed method and a set of supporting tools - for developing an Enterprise Architecture, developed by members of The Open Group Architecture Forum. The TOGAF Standard, Version 9.2 is an update providing additional guidance, correcting errors, introducing structural changes to support the TOGAF Library (an extensive collection of reference material), and removing obsolete content. It may be used freely by any organization wishing to develop an Enterprise Architecture for use within that organization (subject to the Conditions of Use). This Book is divided into six parts: • Part I - Introduction This part provides a high-level introduction to the key concepts of Enterprise Architecture and in particular the TOGAF approach. It contains the definitions of terms used throughout the standard. • Part II - Architecture Development Method This is the core of the TOGAF framework. It describes the TOGAF Architecture Development Method (ADM) – a step-by-step approach to developing an Enterprise Architecture. • Part III - ADM Guidelines & Techniques This part contains a collection of guidelines and techniques available for use in applying the TOGAF framework and the TOGAF ADM. Additional guidelines and techniques are also in the TOGAF Library (available online from The Open Group). • Part IV - Architecture Content Framework This part describes the TOGAF content framework, including a structured metamodel for architectural artifacts, the use of re-usable architecture building blocks, and an overview of typical architecture deliverables. • Part V - Enterprise Continuum & Tools This part discusses appropriate taxonomies and tools to categorize and store the outputs of architecture activity within an enterprise. • Part VI Architecture Capability Framework This part discusses the organization, processes, skills, roles, and responsibilities required to establish and operate an architecture practice within an enterprise.
  azure data engineer training hyderabad: Your Career for Tomorrow United States Coast Guard Academy, 1953
  azure data engineer training hyderabad: Microsoft Azure Administrator Exam Prep (AZ-104) Lalit Rawat, 2022-11-18 Step by step exam guide to learn Microsoft Azure Administration with hands-on labs KEY FEATURES ● Includes subject matter expertise in implementing, managing, and monitoring your organization’s Microsoft Azure environment. ● Covers all exam topics, including virtual networks, storage, computing, identity, security, and governance. ● Includes exam tips, practice exam questions, and in-depth explanations to get certified on the first attempt. DESCRIPTION In cloud computing, getting certified as an Azure Administrator is one of the most highly sought-after sets of abilities. Author Lalit Rawat brings the lab's experience to this updated and extended second edition to help you launch your test preparation with the practical practice of how a certified Azure administrator handles enterprise cloud architecture. This book will help you understand the fundamental and more advanced aspects of Azure administration. In-depth coverage is provided for various topics, including how to sync your existing on-premises active directory with the Azure directory and how to use the user management features of Azure Active Directory. The book also provides an exam-based scenario explanation for the Azure Virtual Machine, the Azure Storage Account, and the Azure Networking service. The book also includes topics such as Azure Monitor, Azure networking, on-premises to Azure connectivity, site-to-site connections, express route, and disaster and backup recovery solutions. In addition, you will enjoy chapters specifically devoted to Exam Preparation Guidelines and Mock Exams, which will assist you in the exam assessments that test your knowledge. WHAT YOU WILL LEARN ● Train to work as an Azure administrator using the Microsoft Azure lab environment. ● Excellent familiarity with Microsoft Azure and all other essentials of cloud administration. ● Set up a corporate cloud system based on Azure. ● Build and expand your organization's virtual infrastructure. ● Implement web apps and containers. ● Implement storage solutions and manage the network traffic. ● Set up, size, monitor, and change your resources to meet the needs of your business. WHO THIS BOOK IS FOR This book is intended for Azure Administrators, Cloud Engineers, Windows/Linux Administrators, Technical Specialists, and Consultants who wish to get certified in Azure and expand their expertise to expert-level skills on the platform. Knowing Powershell and CLI should be enough to read through this book. TABLE OF CONTENTS 1. Managing Azure AD Objects 2. Implementing and Managing Hybrid Identities 3. Managing Role Assignments Through the RBAC Policy 4. Managing Azure Subscription and Resource Management 5. Managing and Configuring of Azure Storage Accounts 6. Manage Data in Azure Storage 7. The Azure File Share 8. Creating and Configuring of Azure VMs 9. Automating Deployment of VMs 10. Creating and Configuring Container 11. Creating and Configuring Web Apps 12. Virtual Network Configuration and Integration On-Prem to Azure 13. Configuring Load Balancing 14. Securing Access to Virtual Networks 15. Monitoring and Troubleshooting of Virtual Networking 16. Analyzing Resource Utilization and Consumption 17. Implementation of Azure Backup and Disaster Recovery 18. Exam Preparation Guidelines and Assessment Based on Live Questions
  azure data engineer training hyderabad: Hands-on Data Analysis and Visualization with Pandas PURNA CHANDER RAO. KATHULA, 2020-08-13 Learn how to use JupyterLab, Numpy, pandas, Scipy, Matplotlib, and Seaborn for Data science KEY FEATURESÊÊ _ Get familiar with different inbuilt Data structures, Functional programming, and Datetime objects. _ Handling heavy Datasets to optimize the data types for memory management, reading files in chunks, dask, and modin pandas. _ Time-series analysis to find trends, seasonality, and cyclic components. _ Seaborn to build aesthetic plots with high-level interfaces and customized themes. _ Exploratory data analysis with real-time datasets to maximize the insights about data. DESCRIPTIONÊ The book will start with quick introductions to Python and its ecosystem libraries for data science such as JupyterLab, Numpy, Pandas, SciPy, Matplotlib, and Seaborn. This book will help in learning python data structures and essential concepts such as Functions, Lambdas, List comprehensions, Datetime objects, etc. required for data engineering. It also covers an in-depth understanding of Python data science packages where JupyterLab used as an IDE for writing, documenting, and executing the python code, Numpy used for computation of numerical operations, Pandas for cleaning and reorganizing the data, handling large datasets and merging the dataframes to get meaningful insights. You will go through the statistics to understand the relation between the variables using SciPy and building visualization charts using Matplotllib and Seaborn libraries. WHAT WILL YOU LEARNÊ _ Learn about Python data containers, their methods, and attributes. _ Learn Numpy arrays for the computation of numerical data. _ Learn Pandas data structures, DataFrames, and Series. _ Learn statistics measures of central tendency, central limit theorem, confidence intervals, and hypothesis testing. _ A brief understanding of visualization, control, and draw different inbuilt charts to extract important variables, detect outliers, and anomalies using Matplotlib and Seaborn. Ê WHO THIS BOOK IS FORÊ This book is for anyone who wants to use Python for Data Analysis and Visualization. This book is for novices as well as experienced readers with working knowledge of the pandas library. Basic knowledge of Python is a must.Ê TABLE OF CONTENTSÊ 1. Introduction to Data Analysis 2. Jupyter lab 3. Python overview 4. Introduction to Numpy 5. Introduction to PandasÊ 6. Data Analysis 7. Time-Series Analysis 8. Introduction to Statistics 9. Matplotlib 10. Seaborn 11. Exploratory Data Analysis
  azure data engineer training hyderabad: Data Management at Scale Piethein Strengholt, 2020-07-29 As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you’ll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including technological developments, regulatory requirements, and privacy concerns Go deep into the Scaled Architecture and learn how the pieces fit together Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata
Azure Data Engineer - sqlschool.com
Trainer : Mr. Sai Phanindra T [18+ Yrs of Real-time Exp]. Profile @ linkedin.com/in/saiphanindra.

Microsoft Azure training and certifications
Take advantage of free, in-depth, virtual training events, and start boosting your career potential right away. Grow your technical skills through weekly events for every skill level.

Azure Data Engineering Syllabus - cloudanddatauniverse
Over 100 projects delivered across multiple technologies. In this course, you will learn Azure Cloud, ADF, SQL Server, Python, PySpark, Databricks, Synapse and Azure DevOps. You will …

Azure Data Engineer Training Hyderabad (2024) - bubetech.com
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 …

DP-203: Data Engineering on Microsoft Azure STRUCTURE
Training Description (Data Engineering on Microsoft Azure): Azure Data Engineers help stakeholders understand the data through exploration, and they build and maintain secure and …

Azure Data Engineer (DP 203) - technicalguftgu.in
Azure Data Engineer (DP – 203) Course Curriculum – Introduction - Microsoft Azure is a powerful cloud computing platform offering scalable solutions for data

Azure Data Engineer - Quality Thought
e Create an Azure account e O verview of Azure portal. e “ Overview and practical implementation of below services" 1. Subscription 2. Resource Group 3. Blob Storage, Data Lake Storage 4. …

DP-203T00: Data Engineering on Microsoft Azure - Koenig …
Module02 : Build data analytics solutions using Azure Synapse Analytics serverless SQL pools Lesson01 : Use a serverless SQL pool to query files in a data lake

Data Engineering on Microsoft Azure - kenfil.com
In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake …

Microsoft Azure Data Engineering DP-203 Cloud Computing …
We provide 100% practical-oriented training along with placement assistance. The Microsoft Azure certification training programme is designed to prepare you for the AZ-900 and AZ-203 …

Azure Data Engineering with SQL, Power BI
With 19+ Years of technical expertise exclusively on Database and Azure, BI Technologies, I assure you 100% Practical, Step by Step Classes for this in-depth Azure Data Engineer …

Microsoft Azure Data Engineer - Greens Technologys
Azure Data Engineers design and implement the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy business needs. Skills measured

Data Engineering on Microsoft Azure (DP-203T00) | H9P83S
In this course, students learn about data engineering patterns and practices as they pertain to batch and real-time analytical solutions using Azure data platform technologies. Students …

Azure Data Engineer Training - sqlschool.com
In Azure Data Engineering module, we shall start from the scratch, Right from the basics of Azure Fundamentals with step by step examples. With Day wise notes and assignments are part of …

Azure Data Engineering Syllabus
Over 5000+ hours of training delivered. Trained over 1700+ students across multiple technologies. from people in different industries. Expertise in batch, one-to-one and corporate …

COURSE: DP-203: Data Engineering on Microsoft Azure
In this course, you will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake …

DP-203: Data Engineering on Microsoft Azure - InspiringWays
The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical …

Azure Data Engineering
In this module, we start with detailed step by Step Database Fundamentals, SQL Concepts, TSQL Queries with simple but very useful job-oriented scenarios.

Azure Data Engineering Syllabus - cloudanddatauniverse
Over 100 projects delivered across multiple technologies. In this course, you will learn Azure Cloud, ADF, SQL Server, Python, PySpark, Databricks, Synapse and Azure DevOps. This is a …

SCHOOL OF DATA SCIENCE Data Engineering with Microsoft …
In this project, you’ll build a data lake solution for Divvy bikeshare with Azure Databricks using a lakehouse architecture. You will design a star schema based on business outcomes and …

Azure Data Engineer - sqlschool.com
Trainer : Mr. Sai Phanindra T [18+ Yrs of Real-time Exp]. Profile @ linkedin.com/in/saiphanindra.

Microsoft Azure training and certifications
Take advantage of free, in-depth, virtual training events, and start boosting your career potential right away. Grow your technical skills through weekly events for every skill level.

Azure Data Engineering Syllabus - cloudanddatauniverse
Over 100 projects delivered across multiple technologies. In this course, you will learn Azure Cloud, ADF, SQL Server, Python, PySpark, Databricks, Synapse and Azure DevOps. You will …

Azure Data Engineer Training Hyderabad (2024)
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 …

DP-203: Data Engineering on Microsoft Azure STRUCTURE
Training Description (Data Engineering on Microsoft Azure): Azure Data Engineers help stakeholders understand the data through exploration, and they build and maintain secure and …

Azure Data Engineer (DP 203) - technicalguftgu.in
Azure Data Engineer (DP – 203) Course Curriculum – Introduction - Microsoft Azure is a powerful cloud computing platform offering scalable solutions for data

Azure Data Engineer - Quality Thought
e Create an Azure account e O verview of Azure portal. e “ Overview and practical implementation of below services" 1. Subscription 2. Resource Group 3. Blob Storage, Data Lake Storage 4. …

DP-203T00: Data Engineering on Microsoft Azure - Koenig …
Module02 : Build data analytics solutions using Azure Synapse Analytics serverless SQL pools Lesson01 : Use a serverless SQL pool to query files in a data lake

Data Engineering on Microsoft Azure - kenfil.com
In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake …

Microsoft Azure Data Engineering DP-203 Cloud Computing …
We provide 100% practical-oriented training along with placement assistance. The Microsoft Azure certification training programme is designed to prepare you for the AZ-900 and AZ-203 …

Azure Data Engineering with SQL, Power BI
With 19+ Years of technical expertise exclusively on Database and Azure, BI Technologies, I assure you 100% Practical, Step by Step Classes for this in-depth Azure Data Engineer …

Microsoft Azure Data Engineer - Greens Technologys
Azure Data Engineers design and implement the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy business needs. Skills measured

Data Engineering on Microsoft Azure (DP-203T00) | H9P83S
In this course, students learn about data engineering patterns and practices as they pertain to batch and real-time analytical solutions using Azure data platform technologies. Students begin …

Azure Data Engineer Training - sqlschool.com
In Azure Data Engineering module, we shall start from the scratch, Right from the basics of Azure Fundamentals with step by step examples. With Day wise notes and assignments are part of …

Azure Data Engineering Syllabus
Over 5000+ hours of training delivered. Trained over 1700+ students across multiple technologies. from people in different industries. Expertise in batch, one-to-one and corporate trainings. …

COURSE: DP-203: Data Engineering on Microsoft Azure
In this course, you will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake …

DP-203: Data Engineering on Microsoft Azure - InspiringWays
The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical …

Azure Data Engineering
In this module, we start with detailed step by Step Database Fundamentals, SQL Concepts, TSQL Queries with simple but very useful job-oriented scenarios.

Azure Data Engineering Syllabus - cloudanddatauniverse
Over 100 projects delivered across multiple technologies. In this course, you will learn Azure Cloud, ADF, SQL Server, Python, PySpark, Databricks, Synapse and Azure DevOps. This is a …

SCHOOL OF DATA SCIENCE Data Engineering with Microsoft …
In this project, you’ll build a data lake solution for Divvy bikeshare with Azure Databricks using a lakehouse architecture. You will design a star schema based on business outcomes and …