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| amazon entity relationship diagram: Amazon DynamoDB - The Definitive Guide Aman Dhingra, Mike Mackay, 2024-08-30 Harness the potential and scalability of DynamoDB to effortlessly construct resilient, low-latency databases Key Features Discover how DynamoDB works behind the scenes to make the most of its features Learn how to keep latency and costs minimal even when scaling up Integrate DynamoDB with other AWS services to create a full data analytics system Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis book will help you master Amazon DynamoDB, the fully managed, serverless, NoSQL database service designed for high performance at any scale. Authored by Aman Dhingra, senior DynamoDB specialist solutions architect at AWS, and Mike Mackay, former senior NoSQL specialist solutions architect at AWS, this guide draws on their expertise to equip you with the knowledge and skills needed to harness DynamoDB's full potential. This book not only introduces you to DynamoDB's core features and real-world applications, but also provides in-depth guidance on transitioning from traditional relational databases to the NoSQL world. You'll learn essential data modeling techniques, such as vertical partitioning, and explore the nuances of DynamoDB's indexing capabilities, capacity modes, and consistency models. The chapters also help you gain a solid understanding of advanced topics such as enhanced analytical patterns, implementing caching with DynamoDB Accelerator (DAX), and integrating DynamoDB with other AWS services to optimize your data strategies. By the end of this book, you’ll be able to design, build, and deliver low-latency, high-throughput DynamoDB solutions, driving new levels of efficiency and performance for your applications.What you will learn Master key-value data modeling in DynamoDB for efficiency Transition from RDBMSs to NoSQL with optimized strategies Implement read consistency and ACID transactions effectively Explore vertical partitioning for specific data access patterns Optimize data retrieval using secondary indexes in DynamoDB Manage capacity modes, backup strategies, and core components Enhance DynamoDB with caching, analytics, and global tables Evaluate and design your DynamoDB migration strategy Who this book is for This book is for software architects designing scalable systems, developers optimizing performance with DynamoDB, and engineering managers guiding decision-making. Data engineers will learn to integrate DynamoDB into workflows, while product owners will explore its innovative capabilities. DBAs transitioning to NoSQL will find valuable insights on DynamoDB and RDBMS integration. Basic knowledge of software engineering, Python, and cloud computing is helpful. Hands-on AWS or DynamoDB experience is beneficial but not required. |
| amazon entity relationship diagram: Agents and Data Mining Interaction Longbing Cao, Yifeng Zeng, Bo An, Andreas L. Symeonidis, Vladimir Gorodetsky, Frans Coenen, Philip S. Yu, 2015-06-04 This book constitutes the thoroughly refereed and revised selected papers from the 10th International Workshop on Agents and Data Mining Interactions, ADMI 2014, held in Paris, France, in May 2014 as satellite workshop of AAMAS 2014, the 13th International Conference on Autonomous Agents and Multiagent Systems. The 11 papers presented were carefully reviewed and selected from numerous submissions for inclusion in this volume. They present current research and engineering results, as well as potential challenges and prospects encountered in the respective communities and the coupling between agents and data mining. |
| amazon entity relationship diagram: Serverless Analytics with Amazon Athena Anthony Virtuoso, Mert Turkay Hocanin, Aaron Wishnick, Rahul Pathak, 2021-11-19 Get more from your data with Amazon Athena's ease-of-use, interactive performance, and pay-per-query pricing Key FeaturesExplore the promising capabilities of Amazon Athena and Athena's Query Federation SDKUse Athena to prepare data for common machine learning activitiesCover best practices for setting up connectivity between your application and Athena and security considerationsBook Description Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using SQL, without needing to manage any infrastructure. This book begins with an overview of the serverless analytics experience offered by Athena and teaches you how to build and tune an S3 Data Lake using Athena, including how to structure your tables using open-source file formats like Parquet. You'll learn how to build, secure, and connect to a data lake with Athena and Lake Formation. Next, you'll cover key tasks such as ad hoc data analysis, working with ETL pipelines, monitoring and alerting KPI breaches using CloudWatch Metrics, running customizable connectors with AWS Lambda, and more. Moving on, you'll work through easy integrations, troubleshooting and tuning common Athena issues, and the most common reasons for query failure. You will also review tips to help diagnose and correct failing queries in your pursuit of operational excellence. Finally, you'll explore advanced concepts such as Athena Query Federation and Athena ML to generate powerful insights without needing to touch a single server. By the end of this book, you'll be able to build and use a data lake with Amazon Athena to add data-driven features to your app and perform the kind of ad hoc data analysis that often precedes many of today's ML modeling exercises. What you will learnSecure and manage the cost of querying your dataUse Athena ML and User Defined Functions (UDFs) to add advanced features to your reportsWrite your own Athena Connector to integrate with a custom data sourceDiscover your datasets on S3 using AWS Glue CrawlersIntegrate Amazon Athena into your applicationsSetup Identity and Access Management (IAM) policies to limit access to tables and databases in Glue Data CatalogAdd an Amazon SageMaker Notebook to your Athena queriesGet to grips with using Athena for ETL pipelinesWho this book is for Business intelligence (BI) analysts, application developers, and system administrators who are looking to generate insights from an ever-growing sea of data while controlling costs and limiting operational burden, will find this book helpful. Basic SQL knowledge is expected to make the most out of this book. |
| amazon entity relationship diagram: Expert PHP and MySQL Marc Rochkind, 2013-08-20 Expert PHP and MySQL takes you beyond learning syntax to showing you how to apply proven software development methods to building commerce-grade PHP and MySQL projects that will stand the test of time and reliably deliver on customer needs. Developers of real-world applications face numerous problems that seem trivial on the surface, but really do take some skill to get right. Error handling is about more than just the mechanics in the PHP syntax, but also about handling MySQL errors, logging those errors, and about hiding information about application internals that error messages sometimes can expose. Meet these challenges and more head-on! Author Marc Rochkind shows how to begin a project right, with a clear contract and set of written requirements. You’ll learn about project organization, setting up a solid development environment, connecting with client personnel. Database design is essential, and Expert PHP and MySQL has you covered with guidance on creating a sound model and database, and on pushing functionality into the database as appropriate; not everything should be done in PHP. Error handling is covered at both the PHP and MySQL levels. Application structure is covered. Guidance is provided on reporting. And finally there is conversion. In Expert PHP and MySQL you’ll explore the following: The popular and widely used combination of PHP and MySQL Commercial-grade application of language and database features Human factors such as planning and organization Organizing a project to meet requirements and satisfy the customer Structuring an application for efficient development and future modification Coding PHP for productivity, reliability, security Generating online, downloadable, and printed reports Converting existing data to the new application What you’ll learn Organize a project to meet requirements and satisfy the customer. Structure an application for efficient development and future modification. Design a database to model the business and support the application. Code PHP for productivity, reliability, security. Generate online, downloadable, and printed reports. Convert existing data to the new application. Who this book is for Expert PHP and MySQL is aimed at programmers competent in PHP and MySQL. Readers should know the mechanics of the language and the database, and have a desire to learn to build commercial systems that will stand the test of time and reliably deliver on customer needs. Table of Contents Project Organization Requirements Platforms and Tools The Database Application Structure Security, Forms, and Error Handling Reports and Other Outputs Data Conversion |
| amazon entity relationship diagram: Database Design Using Entity-Relationship Diagrams Sikha Saha Bagui, Richard Walsh Earp, 2022-09-01 Essential to database design, entity-relationship (ER) diagrams are known for their usefulness in data modeling and mapping out clear database designs. They are also well-known for being difficult to master. With Database Design Using Entity-Relationship Diagrams, Third Edition, database designers, developers, and students preparing to enter the field can quickly learn the ins and outs of data modeling through ER diagramming. Building on the success of the bestselling first and second editions, this accessible text includes a new chapter on the relational model and functional dependencies. It also includes expanded chapters on Enhanced Entity-Relationship (EER) diagrams and reverse mapping. It uses cutting-edge case studies and examples to help readers master database development basics and defines ER and EER diagramming in terms of requirements (end user requests) and specifications (designer feedback to those requests), facilitating agile database development. This book Describes a step-by-step approach for producing an ER diagram and developing a relational database from it Contains exercises, examples, case studies, bibliographies, and summaries in each chapter Details the rules for mapping ER diagrams to relational databases Explains how to reverse engineer a relational database back to an entity-relationship model Includes grammar for the ER diagrams that can be presented back to the user, facilitating agile database development The updated exercises and chapter summaries provide the real-world understanding needed to develop ER and EER diagrams, map them to relational databases, and test the resulting relational database. Complete with a wealth of additional exercises and examples throughout, this edition should be a basic component of any database course. Its comprehensive nature and easy-to-navigate structure make it a resource that students and professionals will turn to throughout their careers. |
| amazon entity relationship diagram: Privacy and Security Policies in Big Data Tamane, Sharvari, Solanki, Vijender Kumar, Dey, Nilanjan, 2017-03-03 In recent years, technological advances have led to significant developments within a variety of business applications. In particular, data-driven research provides ample opportunity for enterprise growth, if utilized efficiently. Privacy and Security Policies in Big Data is a pivotal reference source for the latest research on innovative concepts on the management of security and privacy analytics within big data. Featuring extensive coverage on relevant areas such as kinetic knowledge, cognitive analytics, and parallel computing, this publication is an ideal resource for professionals, researchers, academicians, advanced-level students, and technology developers in the field of big data. |
| amazon entity relationship diagram: Enabling Real-Time Business Intelligence Malu Castellanos, Umeshwar Dayal, Volker Markl, 2011-08-03 This book constitutes the thoroughly refereed conference proceedings of the 4th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2010, held in Singapore, in September 2010, in conjunction with VLDB 2010, the International Conference on Very Large Data Bases. The volume contains six research papers, which are carefully reviewed and selected out of 12 submissions, plus the three keynotes presented at the workshop. The topics cover all stages of the business intelligence cycle, including capturing of real-time data, handling of temproal or uncertain data, performance issues, event management, and the optimization of complex ETL workflows. |
| amazon entity relationship diagram: Database Processing David Kroenke, 2006 Revised to reflect the needs of today's users, this 10 th edition ofDatabase Processingassures that you will learn marketable skills. By presenting SQL SELECT statements near the beginning of the book readers will know early on how to query data and obtain resultsseeing firsthand some of the ways that database technology is useful in the marketplace. By utilizing free software downloads, you will be able to actively use a DBMS product by the end of the 2 nd chapter. Each topic appears in the context of accomplishing practical tasks. Its spiral approach to database design (incorporating all 3 sources: from the integration of existing data, from new information, and the need to redesign an existing database) provides users with enhanced information not available in other database books on the market. Topics include: SQL, database design, implementation, processing, access standards, and business intelligence.An excellent reference and handbook for information systems professionals such as database administrators, database designers, systems analysts, web-database developers, and programmers of database applications. |
| amazon entity relationship diagram: Graph Databases Ian Robinson, Jim Webber, Emil Eifrem, 2013-06-10 Discover how graph databases can help you manage and query highly connected data. With this practical book, you’ll learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains. Whether you want to speed up your response to user queries or build a database that can adapt as your business evolves, this book shows you how to apply the schema-free graph model to real-world problems. Learn how different organizations are using graph databases to outperform their competitors. With this book’s data modeling, query, and code examples, you’ll quickly be able to implement your own solution. Model data with the Cypher query language and property graph model Learn best practices and common pitfalls when modeling with graphs Plan and implement a graph database solution in test-driven fashion Explore real-world examples to learn how and why organizations use a graph database Understand common patterns and components of graph database architecture Use analytical techniques and algorithms to mine graph database information |
| amazon entity relationship diagram: Introduction to Information Systems R. Kelly Rainer, Casey G. Cegielski, Ingrid Splettstoesser-Hogeterp, Cristobal Sanchez-Rodriguez, 2013-08-30 The goal of Introduction to Information Systems, 3rd Canadian Edition remains the same: to teach all business majors, especially undergraduate ones, how to use information technology to master their current or future jobs and to help ensure the success of their organization. To accomplish this goal, this text helps students to become informed users; that is, persons knowledgeable about information systems and information technology. The focus is not on merely learning the concepts of IT but rather on applying those concepts to facilitate business processes. The authors concentrate on placing information systems in the context of business, so that students will more readily grasp the concepts presented in the text. The theme of this book is What's In IT for Me? This question is asked by all students who take this course. The book will show you that IT is the backbone of any business, whether a student is majoring in Accounting, Finance, Marketing, Human Resources, or Production/Operations Management. Information for the Management Information Systems (MIS) major is also included. |
| amazon entity relationship diagram: Conceptual Modeling Paolo Atzeni, David Cheung, Sudha Ram, 2012-10-14 This book constitutes the refereed proceedings of the 31st International Conference on Conceptual Modeling, ER 2012, held in Florence, Italy, in October 2012. The 24 regular papers presented together with 13 short papers, 6 poster papers and 3 keynotes were carefully reviewed and selected from 141 submissions. The papers are organized in topical sections on understandability and cognitive approaches; conceptual modeling for datawarehousing and business intelligence; extraction, discovery and clustering; search and documents; data and process modeling; ontology based approaches; variability and evolution; adaptation, preferences and query refinement; queries, matching and topic search; and conceptual modeling in action. |
| amazon entity relationship diagram: Database Design Using Entity-Relationship Diagrams Sikha Bagui, Richard Earp, 2011-09-07 Essential to database design, entity-relationship (ER) diagrams are known for their usefulness in mapping out clear database designs. They are also well-known for being difficult to master. With Database Design Using Entity-Relationship Diagrams, Second Edition, database designers, developers, and students preparing to enter the field can quickly learn the ins and outs of ER diagramming. Building on the success of the bestselling first edition, this accessible text includes a new chapter on the relational model and functional dependencies. It also includes expanded chapters on Enhanced Entity Relationship (EER) diagrams and reverse mapping. It uses cutting-edge case studies and examples to help readers master database development basics and defines ER and EER diagramming in terms of requirements (end user requests) and specifications (designer feedback to those requests). Describes a step-by-step approach for producing an ER diagram and developing a relational database from it Contains exercises, examples, case studies, bibliographies, and summaries in each chapter Details the rules for mapping ER diagrams to relational databases Explains how to reverse engineer a relational database back to an entity-relationship model Includes grammar for the ER diagrams that can be presented back to the user The updated exercises and chapter summaries provide the real-world understanding needed to develop ER and EER diagrams, map them to relational databases, and test the resulting relational database. Complete with a wealth of additional exercises and examples throughout, this edition should be a basic component of any database course. Its comprehensive nature and easy-to-navigate structure makes it a resource that students and professionals will turn to throughout their careers. |
| amazon entity relationship diagram: Core Concepts of Accounting Information Systems Mark G. Simkin, James L. Worrell, Arline A. Savage, 2018-02-13 Accounting Information systems (AIS) have become indispensable in the field, and this book provides clear guidance for students or professionals needing to get up to speed. Designed to suit a one-semester AIS course at the graduate, undergraduate, or community college level, Core Concepts of Accounting Information Systems explores AIS use and processes in the context of modern-day accounting. Coverage includes conceptual overviews of data analytics, accounting, and risk management, as well as detailed discussion of business processes, cybercrime, database design and more to provide a well-rounded introduction to AIS. Case studies reinforce fundamental concepts using real-world scenarios that encourage critical thinking, while AIS-at-Work examples illustrate complex procedures or concepts in everyday workplace situations. Test Yourself questions allow students to gauge their level of understanding, while End of Chapter questions stimulate application of new skills through problems, cases, and discussion questions that facilitate classroom dialogue. Practical, current, relevant, and grounded in everyday application, this book is an invaluable resource for students of managerial accounting, tax accounting, and compliance. |
| amazon entity relationship diagram: Database Processing David M. Kroenke, 2004 This book provides a solid, modern foundation in the fundamentals of database processing. This new edition proves to be the most comprehensive revision of the book yet, with expanded and updated treatment of cutting-edge technologies like XML and ADO-NET. (Midwest). |
| amazon entity relationship diagram: Systems Analysis and Design Alan Dennis, Barbara Wixom, Roberta M. Roth, 2021-11-23 Systems Analysis and Design, 8th Edition offers students a hands-on introduction to the core concepts of systems analysis and systems design. Following a project-based approach written to mimic real-world workflow, the text includes a multitude of cases and examples, in-depth explanations, and special features that highlight crucial concepts and emphasize the application of fundamental theory to real projects. |
| amazon entity relationship diagram: An Introduction to Information Systems David Whiteley, 2017-09-16 A clear, student-friendly and engaging introduction to how information technology is used in business. Featuring several case studies, video interviews, thorough pedagogy and completely up-to-date chapters, this textbook will be a core resource for undergraduate students of Business Information Systems, a compulsory module in business degrees. |
| amazon entity relationship diagram: CLOUD COMPUTING NARAYAN CHANGDER, 2024-03-07 THE CLOUD COMPUTING MCQ (MULTIPLE CHOICE QUESTIONS) SERVES AS A VALUABLE RESOURCE FOR INDIVIDUALS AIMING TO DEEPEN THEIR UNDERSTANDING OF VARIOUS COMPETITIVE EXAMS, CLASS TESTS, QUIZ COMPETITIONS, AND SIMILAR ASSESSMENTS. WITH ITS EXTENSIVE COLLECTION OF MCQS, THIS BOOK EMPOWERS YOU TO ASSESS YOUR GRASP OF THE SUBJECT MATTER AND YOUR PROFICIENCY LEVEL. BY ENGAGING WITH THESE MULTIPLE-CHOICE QUESTIONS, YOU CAN IMPROVE YOUR KNOWLEDGE OF THE SUBJECT, IDENTIFY AREAS FOR IMPROVEMENT, AND LAY A SOLID FOUNDATION. DIVE INTO THE CLOUD COMPUTING MCQ TO EXPAND YOUR CLOUD COMPUTING KNOWLEDGE AND EXCEL IN QUIZ COMPETITIONS, ACADEMIC STUDIES, OR PROFESSIONAL ENDEAVORS. THE ANSWERS TO THE QUESTIONS ARE PROVIDED AT THE END OF EACH PAGE, MAKING IT EASY FOR PARTICIPANTS TO VERIFY THEIR ANSWERS AND PREPARE EFFECTIVELY. |
| amazon entity relationship diagram: Real time deforestation detection using ANN and Satellite images Thiago Nunes Kehl, Viviane Todt, Maurício Roberto Veronez, Silvio Cesar Cazella, 2015-04-25 The foremost aim of the present study was the development of a tool to detect daily deforestation in the Amazon rainforest, using satellite images from the MODIS/TERRA sensor and Artificial Neural Networks. The developed tool provides parameterization of the configuration for the neural network training to enable us to select the best neural architecture to address the problem. The tool makes use of confusion matrices to determine the degree of success of the network. A spectrum-temporal analysis of the study area was done on 57 images from May 20 to July 15, 2003 using the trained neural network. The analysis enabled verification of quality of the implemented neural network classification and also aided in understanding the dynamics of deforestation in the Amazon rainforest, thereby highlighting the vast potential of neural networks for image classification. However, the complex task of detection of predatory actions at the beginning, i.e., generation of consistent alarms, instead of false alarms has not been solved yet. Thus, the present article provides a theoretical basis and elaboration of practical use of neural networks and satellite images to combat illegal deforestation. |
| amazon entity relationship diagram: Amazon Web Servicesではじめる新米プログラマのためのクラウド超入門 WINGSプロジェクト 阿佐志保, 2016-06-21 サーバー構築経験が少ないアプリエンジニアにも安心! イチから分かるクラウド入門! クラウドサービスの普及により、業務システム開発においても「クラウドファースト」と呼ばれる開発スタイルの採用が増えてきました。本書は、クラウドサービスの最大手「Amazon Web Services(AWS)」を使って、クラウドでのシステム開発手法を説明する入門書です。 一言にAWSと言っても、提供されるサービスが多岐にわたり、どこから手をつけてよいか分からない、という声もよく聞きます。本書では、クラウドに最適化されたアーキテクチャではなく、レガシーアーキテクチャを採用し、業務システムで広く使われているJavaによるWebシステムを構築する手順を紹介することで、AWSを初めて利用する人へのハードルを低くしています。 AWSの基本的な考え方や操作方法に十分に慣れたところで、クラウドネイティブなアーキテクチャでシステムを構築し、無理のないクラウド化を進めていただくことが狙いです。 ※本電子書籍は同名出版物を底本として作成しました。記載内容は印刷出版当時のものです。 ※印刷出版再現のため電子書籍としては不要な情報を含んでいる場合があります。 ※印刷出版とは異なる表記・表現の場合があります。予めご了承ください。 ※プレビューにてお手持ちの電子端末での表示状態をご確認の上、商品をお買い求めください。 (翔泳社) |
| amazon entity relationship diagram: Implementing Digital Forensic Readiness Jason Sachowski, 2019-05-29 Implementing Digital Forensic Readiness: From Reactive to Proactive Process, Second Edition presents the optimal way for digital forensic and IT security professionals to implement a proactive approach to digital forensics. The book details how digital forensic processes can align strategically with business operations and an already existing information and data security program. Detailing proper collection, preservation, storage, and presentation of digital evidence, the procedures outlined illustrate how digital evidence can be an essential tool in mitigating risk and redusing the impact of both internal and external, digital incidents, disputes, and crimes. By utilizing a digital forensic readiness approach and stances, a company’s preparedness and ability to take action quickly and respond as needed. In addition, this approach enhances the ability to gather evidence, as well as the relevance, reliability, and credibility of any such evidence. New chapters to this edition include Chapter 4 on Code of Ethics and Standards, Chapter 5 on Digital Forensics as a Business, and Chapter 10 on Establishing Legal Admissibility. This book offers best practices to professionals on enhancing their digital forensic program, or how to start and develop one the right way for effective forensic readiness in any corporate or enterprise setting. |
| amazon entity relationship diagram: Amazon Web Servicesではじめる新米プログラマのためのクラウド超入門 山田祥寛, WINGSプロジェクト阿佐志保, 2016-06-16 サーバー構築経験が少ないアプリエンジニアにも安心！ イチから分かるクラウド入門！ クラウドサービスの普及により、業務システム開発においても「クラウドファースト」と呼ばれる開発スタイルの採用が増えてきました。本書は、クラウドサービスの最大手「Amazon Web Services（AWS）」を使って、クラウドでのシステム開発手法を説明する入門書です。 一言にAWSと言っても、提供されるサービスが多岐にわたり、どこから手をつけてよいか分からない、という声もよく聞きます。本書では、クラウドに最適化されたアーキテクチャではなく、レガシーアーキテクチャを採用し、業務システムで広く使われているJavaによるWebシステムを構築する手順を紹介することで、AWSを初めて利用する人へのハードルを低くしています。 AWSの基本的な考え方や操作方法に十分に慣れたところで、クラウドネイティブなアーキテクチャでシステムを構築し、無理のないクラウド化を進めていただくことが狙いです。 |
| amazon entity relationship diagram: Too Big to Ignore Phil Simon, 2015-11-02 Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals. |
| amazon entity relationship diagram: Solutions Architect's Handbook Saurabh Shrivastava, Neelanjali Srivastav, 2024-03-29 From fundamentals and design patterns to the latest techniques such as generative AI, machine learning and cloud native architecture, gain all you need to be a pro Solutions Architect crafting secure and reliable AWS architecture. Key Features Hits all the key areas -Rajesh Sheth, VP, Elastic Block Store, AWS Offers the knowledge you need to succeed in the evolving landscape of tech architecture - Luis Lopez Soria, Senior Specialist Solutions Architect, Google A valuable resource for enterprise strategists looking to build resilient applications - Cher Simon, Principal Solutions Architect, AWS Book DescriptionMaster the art of solution architecture and excel as a Solutions Architect with the Solutions Architect's Handbook. Authored by seasoned AWS technology leaders Saurabh Shrivastav and Neelanjali Srivastav, this book goes beyond traditional certification guides, offering in-depth insights and advanced techniques to meet the specific needs and challenges of solutions architects today. This edition introduces exciting new features that keep you at the forefront of this evolving field. Large language models, generative AI, and innovations in deep learning are cutting-edge advancements shaping the future of technology. Topics such as cloud-native architecture, data engineering architecture, cloud optimization, mainframe modernization, and building cost-efficient and secure architectures remain important in today's landscape. This book provides coverage of these emerging and key technologies and walks you through solution architecture design from key principles, providing you with the knowledge you need to succeed as a Solutions Architect. It will also level up your soft skills, providing career-accelerating techniques to help you get ahead. Unlock the potential of cutting-edge technologies, gain practical insights from real-world scenarios, and enhance your solution architecture skills with the Solutions Architect's Handbook.What you will learn Explore various roles of a solutions architect in the enterprise Apply design principles for high-performance, cost-effective solutions Choose the best strategies to secure your architectures and boost availability Develop a DevOps and CloudOps mindset for collaboration, operational efficiency, and streamlined production Apply machine learning, data engineering, LLMs, and generative AI for improved security and performance Modernize legacy systems into cloud-native architectures with proven real-world strategies Master key solutions architect soft skills Who this book is for This book is for software developers, system engineers, DevOps engineers, architects, and team leaders who already work in the IT industry and aspire to become solutions architect professionals. Solutions architects who want to expand their skillset or get a better understanding of new technologies will also learn valuable new skills. To get started, you'll need a good understanding of the real-world software development process and some awareness of cloud technology. |
| amazon entity relationship diagram: Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems Om Prakash Jena, Bharat Bhushan, Nitin Rakesh, Parma Nand Astya, Yousef Farhaoui, 2022-05-18 The goal of medical informatics is to improve life expectancy, disease diagnosis and quality of life. Medical devices have revolutionized healthcare and have led to the modern age of machine learning, deep learning and Internet of Medical Things (IoMT) with their proliferation, mobility and agility. This book exposes different dimensions of applications for computational intelligence and explains its use in solving various biomedical and healthcare problems in the real world. This book describes the fundamental concepts of machine learning and deep learning techniques in a healthcare system. The aim of this book is to describe how deep learning methods are used to ensure high-quality data processing, medical image and signal analysis and improved healthcare applications. This book also explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems. Furthermore, it provides the healthcare sector with innovative advances in theory, analytical approaches, numerical simulation, statistical analysis, modelling, advanced deployment, case studies, analytical results, computational structuring and significant progress in the field of machine learning and deep learning in healthcare applications. FEATURES Explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems Provides guidance in developing intelligence-based diagnostic systems, efficient models and cost-effective machines Provides the latest research findings, solutions to the concerning issues and relevant theoretical frameworks in the area of machine learning and deep learning for healthcare systems Describes experiences and findings relating to protocol design, prototyping, experimental evaluation, real testbeds and empirical characterization of security and privacy interoperability issues in healthcare applications Explores and illustrates the current and future impacts of pandemics and mitigates risk in healthcare with advanced analytics This book is intended for students, researchers, professionals and policy makers working in the fields of public health and in the healthcare sector. Scientists and IT specialists will also find this book beneficial for research exposure and new ideas in the field of machine learning and deep learning. |
| amazon entity relationship diagram: Insights Beyond Ir4.0 with Ioe Checksheets For Implementation - a Basic Reference Manual Sugumaran RS Ramachandran, 2023-03-22 This book is a compilation from various resources presented to guide readers and expose tools needed to lead and implement successful Internet of Everything (IoE) projects in organizations. While most people probably picture computers and cell phones when the subject of technology comes up, technology is not merely a product of the modern era. ... Just as the availability of digital technology shapes how we live today, the creation of stone tools changed how pre-modern humans lived and how well they ate. Why technology is important in our daily life. This is because life without technology is pointless in today's dynamic world. Technology, which brings together tools to promote development, use and information exchange, has as its main objective of making tasks easier and the solving of many problems of mankind. We all know that Checksheets are a set of questions or list of statements that will help us keep track of all the actions that have to be performed in a work. The purpose of these checksheets is to reduce failures, increase consistency and completeness in performing a specific task. No matter what size, companies are constantly looking to increase productivity, efficiency, and performance. Naturally, the implementation of new technology can accomplish that. However, while introducing new technologies are essential in running a successful company, how we choose to introduce those technologies can make or break their success. |
| amazon entity relationship diagram: Data Conscience Brandeis Hill Marshall, 2022-08-19 DATA CONSCIENCE ALGORITHMIC S1EGE ON OUR HUM4N1TY EXPLORE HOW D4TA STRUCTURES C4N HELP OR H1NDER SOC1AL EQU1TY Data has enjoyed ‘bystander’ status as we’ve attempted to digitize responsibility and morality in tech. In fact, data’s importance should earn it a spot at the center of our thinking and strategy around building a better, more ethical world. It’s use—and misuse—lies at the heart of many of the racist, gendered, classist, and otherwise oppressive practices of modern tech. In Data Conscience: Algorithmic Siege on our Humanity, computer science and data inclusivity thought leader Dr. Brandeis Hill Marshall delivers a call to action for rebel tech leaders, who acknowledge and are prepared to address the current limitations of software development. In the book, Dr. Brandeis Hill Marshall discusses how the philosophy of “move fast and break things” is, itself, broken, and requires change. You’ll learn about the ways that discrimination rears its ugly head in the digital data space and how to address them with several known algorithms, including social network analysis, and linear regression A can’t-miss resource for junior-level to senior-level software developers who have gotten their hands dirty with at least a handful of significant software development projects, Data Conscience also provides readers with: Discussions of the importance of transparency Explorations of computational thinking in practice Strategies for encouraging accountability in tech Ways to avoid double-edged data visualization Schemes for governing data structures with law and algorithms |
| amazon entity relationship diagram: The Book of Filemaker 6 Chris Kubica, 2003 This complete reference to FileMaker Pro takes developers at all levels beyond the user manual to create robust and dynamic database systems from the ground up. It begins with an introduction to the FileMaker Pro development environment and relational databases in general, but also covers advanced topics. |
| amazon entity relationship diagram: Beyond EHR Jeffery P. Daigrepont, EFPM, CAPPM, 2020-11-29 Today, it is not uncommon for practices and hospitals to be on their second or third EHR and/or contemplating a transition from the traditional on-premise model to a cloud-based system. As a follow-up to Complete Guide and Toolkit to Successful EHR Adoption (©2011 HIMSS), this book builds on the best practices of the first edition, fast-forwarding to the latest innovations that are currently leveraged and adopted by providers and hospitals. We examine the role that artificial intelligence (AI) is now playing in and around EHR technology. We also address the advances in analytics and deep learning (also known as deep structured or hierarchical learning) and explain this topic in practical ways for even the most novice reader to comprehend and apply. The challenges of EHR to EHR migrations and data conversions will also be covered, including the use of the unethical practice of data blocking used as a tactic by some vendors to hold data hostage. Further, we explore innovations related to interoperability, cloud computing, cyber security, and electronic patient/consumer engagement. Finally, this book will deal with what to do with aging technology and databases, which is an issue rarely considered in any of the early publications on healthcare technology. What is the proper way to retire a legacy system, and what are the legal obligations of data archiving? Though a lot has changed since the 2011 edition, many of the fundamentals remain the same and will serve as a foundation for the next generation of EHR adopters and/or those moving on to their second, third, fourth, and beyond EHRs. |
| amazon entity relationship diagram: Advances in Service-Oriented and Cloud Computing Maria Fazio, Wolf Zimmermann, 2020-12-04 This volume contains the technical papers presented in the workshops, which took place at the 7th European Conference on Service-Oriented and Cloud Computing, ESOCC 2018, held in Como, Italy, in September 2018:Joint Cloudways and OptiMoCS Workshop; 14th International Workshop on Engineering Service-Oriented Applications and Cloud Services. Additionally the papers from ESOCC 2018 PhD Symposium and ESOCC 2018 EU Projects Track were included in the volume. The 22 full papers were carefully reviewed and selected from 34 submissions. The papers focus on specific topics in service-oriented and cloud computing domains such as limits and/or advantages of existing cloud solutions, future internet technologies, efficient and adaptive deployment and management of service-based applications across multiple clouds, novel cloud service migration practices and solutions, digitization of enterprises in the cloud computing era, federated cloud networking services. |
| amazon entity relationship diagram: User-Centric Application Integration in Enterprise Portal Systems Oliver Gmelch, 2012 The ever growing number of application scenarios for IT systems leads to a significant increase in their number and hence to a level of complexity that has grown tremendously in comparison with early IT installations by the mid of the past decade. In numerous attempts to integrate these diverging application stacks, various prominent methods have emerged in the past, most recently the topic of EAI which strives to achieve a consolidated view at diverse application systems. However, the emergence and rise of cloud-based services leads to new challenges to deal with. Usage of offerings from a no further specified cloud appears appealing for IT decision makers since it promises cost savings while even enhancing flexibility to quickly respond to changing market needs. To further support this idea, this work focuses on the aspect of inter-organisational networks that are characterised by short setup times and short time to market in order to achieve innovative products emerging from the cooperation between different actors. In this context, proper backing by dedicated ICT components is one of the key challenges. This book therefore demonstrates how portal systems, acting as intermediary between providers and consumers, can be embedded into networked enterprises by providing seamless access to all relevant information. To achieve this, this book presents a generic architecture that can serve as a blueprint for future implementations for the type of enterprise portals introduced previously and focuses on integration of external services in a user-centric manner, concentrating on the user and his specific needs to achieve productivity and user satisfaction gains. Moreover, secure communication facilities allow to consider the current application and/or user context to control exchange of information between different applications integrated on the portal platform. |
| amazon entity relationship diagram: Clinical Informatics Study Guide John T. Finnell, Brian E. Dixon, 2022-04-22 This completely updated study guide textbook is written to support the formal training required to become certified in clinical informatics. The content has been extensively overhauled to introduce and define key concepts using examples drawn from real-world experiences in order to impress upon the reader the core content from the field of clinical informatics. The book groups chapters based on the major foci of the core content: health care delivery and policy; clinical decision-making; information science and systems; data management and analytics; leadership and managing teams; and professionalism. The chapters do not need to be read or taught in order, although the suggested order is consistent with how the editors have structured their curricula over the years. Clinical Informatics Study Guide: Text and Review serves as a reference for those seeking to study for a certifying examination independently or periodically reference while in practice. This includes physicians studying for board examination in clinical informatics as well as the American Medical Informatics Association (AMIA) health informatics certification. This new edition further refines its place as a roadmap for faculty who wish to go deeper in courses designed for physician fellows or graduate students in a variety of clinically oriented informatics disciplines, such as nursing, dentistry, pharmacy, radiology, health administration and public health. |
| amazon entity relationship diagram: Analysis of Images, Social Networks and Texts Dmitry I. Ignatov, Mikhail Yu. Khachay, Alexander Panchenko, Natalia Konstantinova, Rostislav E. Yavorsky, 2014-11-06 This book constitutes the proceedings of the Third International Conference on Analysis of Images, Social Networks and Texts, AIST 2014, held in Yekaterinburg, Russia, in April 2014. The 11 full and 10 short papers were carefully reviewed and selected from 74 submissions. They are presented together with 3 short industrial papers, 4 invited papers and tutorials. The papers deal with topics such as analysis of images and videos; natural language processing and computational linguistics; social network analysis; machine learning and data mining; recommender systems and collaborative technologies; semantic web, ontologies and their applications; analysis of socio-economic data. |
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| amazon entity relationship diagram: Databases Illuminated Catherine M. Ricardo, Susan D. Urban, 2015-08-24 Databases Illuminated, Third Edition Includes Navigate 2 Advantage Access combines database theory with a practical approach to database design and implementation. Strong pedagogical features, including accessible language, real-world examples, downloadable code, and engaging hands-on projects and lab exercises create a text with a unique combination of theory and student-oriented activities. Providing an integrated, modern approach to databases, Databases Illuminated, Third Edition is the essential text for students in this expanding field. |
| amazon entity relationship diagram: CEH v12 Certified Ethical Hacker Study Guide with 750 Practice Test Questions Ric Messier, 2023-04-12 The latest version of the official study guide for the in-demand CEH certification, now with 750 Practice Test Questions Information security and personal privacy remains a growing concern for businesses in every sector. And even as the number of certifications increases, the Certified Ethical Hacker, Version 12 (CEH v12) maintains its place as one of the most sought-after and in-demand credentials in the industry. In CEH v12 Certified Ethical Hacker Study Guide with 750 Practice Test Questions, you’ll find a comprehensive overview of the CEH certification requirements. Concise and easy-to-follow instructions are combined with intuitive organization that allows you to learn each exam objective in your own time and at your own pace. The Study Guide now contains more end of chapter review questions and more online practice tests. This combines the value from the previous two-book set including a practice test book into a more valuable Study Guide. The book offers thorough and robust coverage of every relevant topic, as well as challenging chapter review questions, even more end of chapter review questions to validate your knowledge, and Exam Essentials, a key feature that identifies important areas for study. There are also twice as many online practice tests included. You’ll learn about common attack practices, like reconnaissance and scanning, intrusion detection, DoS attacks, buffer overflows, wireless attacks, mobile attacks, Internet of Things vulnerabilities, and more. It also provides: Practical, hands-on exercises that reinforce vital, real-world job skills and exam competencies Essential guidance for a certification that meets the requirements of the Department of Defense 8570 Directive for Information Assurance positions Complimentary access to the Sybex online learning center, complete with chapter review questions, full-length practice exams, hundreds of electronic flashcards, and a glossary of key terms The CEH v12 Certified Ethical Hacker Study Guide with 750 Practice Test Questions is your go-to official resource to prep for the challenging CEH v12 exam and a new career in information security and privacy. |
| amazon entity relationship diagram: CEH v11 Certified Ethical Hacker Study Guide Ric Messier, 2021-07-16 As protecting information continues to be a growing concern for today’s businesses, certifications in IT security have become highly desirable, even as the number of certifications has grown. Now you can set yourself apart with the Certified Ethical Hacker (CEH v11) certification. The CEH v11 Certified Ethical Hacker Study Guide offers a comprehensive overview of the CEH certification requirements using concise and easy-to-follow instructions. Chapters are organized by exam objective, with a handy section that maps each objective to its corresponding chapter, so you can keep track of your progress. The text provides thorough coverage of all topics, along with challenging chapter review questions and Exam Essentials, a key feature that identifies critical study areas. Subjects include common attack practices like reconnaissance and scanning. Also covered are topics like intrusion detection, DoS attacks, buffer overflows, wireless attacks, mobile attacks, Internet of Things (IoT) and more. This study guide goes beyond test prep, providing practical hands-on exercises to reinforce vital skills and real-world scenarios that put what you’ve learned into the context of actual job roles. Gain a unique certification that allows you to function like an attacker, allowing you to identify vulnerabilities so they can be remediated Expand your career opportunities with an IT certificate that satisfies the Department of Defense's 8570 Directive for Information Assurance positions Fully updated for the 2020 CEH v11 exam, including the latest developments in IT security Access the Sybex online learning center, with chapter review questions, full-length practice exams, hundreds of electronic flashcards, and a glossary of key terms Thanks to its clear organization, all-inclusive coverage, and practical instruction, the CEH v11 Certified Ethical Hacker Study Guide is an excellent resource for anyone who needs to understand the hacking process or anyone who wants to demonstrate their skills as a Certified Ethical Hacker. |
| amazon entity relationship diagram: Systems Analysis Design Alan Dennis, Barbara Haley Wixom, 2003 In a field as exciting and dynamic as Systems Analysis and Design (SAD), there will always be new technologies and approaches to develop systems more effectively and efficiently. The authors have focused on the core set of skills that all analysts must possess - from gathering requirements and modelling business needs to creating blueprints for how the system should be built. |
| amazon entity relationship diagram: AI*IA 2013: Advances in Artificial Intelligence Matteo Baldoni, Cristina Baroglio, Guido Boella, Roberto Micalizio, 2013-12-09 This book constitutes the refereed proceedings of the 13th International Conference of the Italian Association for Artificial Intelligence, AI*IA 2013, held in Turin, Italy, in December 2013. The 45 revised full papers were carefully reviewed and selected from 86 submissions. The conference covers broadly the many aspects of theoretical and applied Artificial Intelligence as follows: knowledge representation and reasoning, machine learning, natural language processing, planning, distributed AI: robotics and MAS, recommender systems and semantic Web and AI applications. |
| amazon entity relationship diagram: Project Management in Cloud Applications Pramod Chandra P. Bhatt, |
| amazon entity relationship diagram: Knowledge Management in Digital Change Klaus North, Ronald Maier, Oliver Haas, 2018-02-26 This book features both cutting-edge contributions on managing knowledge in transformational contexts and a selection of real-world case studies. It analyzes how the disruptive power of digitization is becoming a major challenge for knowledge-based value creation worldwide, and subsequently examines the changes in how we manage information and knowledge, communicate, collaborate, learn and decide within and across organizations. The book highlights the opportunities provided by disruptive renewal, while also stressing the need for knowledge workers and organizations to transform governance, leadership and work organization. Emerging new business models and digitally enabled co-creation are presented as drivers that can help establish new ways of managing knowledge. In turn, a number of carefully selected and interpreted case studies provide a link to practice in organizations. |
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