AWS Certified Database Study Guide Год издания: 2023 Автор: Arrais M., Bravet R.M., Ciccone L., Cocharero A.N., Kurauchi É., Rozestraten H. Издательство: Wiley ISBN: 978-1-119-77896-7 Язык: Английский Формат: EPUB Качество: Издательский макет или текст (eBook) Интерактивное оглавление: Да Количество страниц: 496 Описание: WS Certified Database Study Guide: Specialty (DBS-C01) Exam focuses on helping you to understand the basic job role of a database administrator / architect and to prepare for taking the certification exam. This is your opportunity to take the next step in your career by expanding and validating your skills on the AWS Cloud, and performing a database-focused role. AWS is the frontrunner in cloud computing products and services, and this study guide will help you to gain an understanding of core AWS services, uses, and basic AWS database design and deployment best practices. AWS offers more than relational and nonrelation databases, they offer purpose built databases, which allow you to utilize database services prebuilt to meet your business requirements. If you are looking to take the Specialty (DBS-C01) exam, this Study Guide is what you need for comprehensive content and robust study tools that will help you gain the edge on exam day and throughout your career. AWS Certified Database certification offers a great way for IT professionals to achieve industry recognition as cloud experts. This new study guide is perfect for you if you perform a database-focused role and want to pass the DBS-C01 exam to prove your knowledge of how to design and deploy secure and robust database applications on AWS technologies. IT cloud professionals who hold AWS certifications are in great demand, and this certification could take your career to the next level! New database paradigms have appeared, being rapidly leveraged in modern applications. Not Only SQL (NoSQL) databases have gained traction and evolved, being used in countless production deployments by Internet giants such as Twitter, Facebook, and Google. NoSQL databases are a great choice for semistructured and unstructured data, having scalability and distributed processing as main features, thus leading to higher resiliency and delivering schema-on-write, meaning that the table structure can be changed and columns (attributes) can be added during insert-like operations. As opposed to relational databases, NoSQL databases in general do not require uniform table definition among rows. Over the years, several types of NoSQL databases have arisen to solve specific challenges, with different vendors and solutions for each database type. NoSQL databases will be covered in depth in this book, including key-value databases like Amazon DynamoDB (Chapter 5, “Low Latency Response Time for Your Apps and APIs”), wide-column databases like Amazon Keyspaces for Apache Cassandra (Chapter 5), document databases like Amazon DocumentDB with MongoDB Compatibility (Chapter 6, “Document Databases in the Cloud”), graph databases like Amazon Neptune (Chapter 9, “Discover Relationships Between Objects or People Faster Than a Traditional RDBMS”), and ledger databases like Amazon QLDB (Chapter 10, “Immutable Database and Traceable Transactions”). • Master all the key concepts you need to pass the AWS Certified Database Specialty (DBS-C01) Exam • Further your career by demonstrating your cloud computing expertise and your knowledge of databases and database services • Understand the concept of purpose built databases, allowing you to pick the right tool for the right job. • Review deployment and migration, management and operations, monitoring and troubleshooting, database security, and more • Access the Sybex online learning environment and test bank for interactive study aids and practice questions
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Cover Title Page Copyright Dedication Acknowledgments About the Authors About the Technical Editor Table of Exercises Introduction PART I: Workload-Specific Database Design Chapter 1: Databases—from Your Server to AWS Cloud Chapter 2: Basic AWS Concepts Chapter 3: Purpose-Built Databases PART II: Management and Operations, Database Security, Monitoring and Troubleshooting per Workload Chapter 4: Relational Databases on AWS Chapter 5: Low-Latency Response Time for Your Apps and APIs Chapter 6: Document Databases in the Cloud Chapter 7: Better Places Than Databases to Store Large Objects Chapter 8: Deliver Valuable Information at the Speed Your Business Needs Chapter 9: Discovering Relationships Using Graph Databases Chapter 10: Immutable Database and Traceable Transactions Chapter 11: Caching Data with In-Memory Databases PART III: Deployment and Migration Chapter 12: Migrating Your Data to AWS Chapter 13: Disaster Recovery Chapter 14: Save Time and Reduce Errors Automating Your Infrastructure Appendix: Answers to Review Questions Index End User License Agreement
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