AMAZON DYNAMODB the definitive guide : explore enterprise-ready, serverless NoSQL with predictable, scalable performance

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Published
Birmingham, UK : Packt Publishing Ltd., 2024.
Status
Available Online

Description

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 Description This 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.

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Format
Edition
1st edition.
Language
English
ISBN
9781803248325, 1803248327

Notes

Description
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 Description This 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.
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Citations

APA Citation, 7th Edition (style guide)

Dhingra, A., & Mackay, M. (2024). AMAZON DYNAMODB: the definitive guide : explore enterprise-ready, serverless NoSQL with predictable, scalable performance (1st edition.). Packt Publishing Ltd..

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Dhingra, Aman and Mike, Mackay. 2024. AMAZON DYNAMODB: The Definitive Guide : Explore Enterprise-ready, Serverless NoSQL With Predictable, Scalable Performance. Birmingham, UK: Packt Publishing Ltd.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Dhingra, Aman and Mike, Mackay. AMAZON DYNAMODB: The Definitive Guide : Explore Enterprise-ready, Serverless NoSQL With Predictable, Scalable Performance Birmingham, UK: Packt Publishing Ltd, 2024.

Harvard Citation (style guide)

Dhingra, A. and Mackay, M. (2024). AMAZON DYNAMODB: the definitive guide : explore enterprise-ready, serverless nosql with predictable, scalable performance. 1st edn. Birmingham, UK: Packt Publishing Ltd.

MLA Citation, 9th Edition (style guide)

Dhingra, Aman,, and Mike Mackay. AMAZON DYNAMODB: The Definitive Guide : Explore Enterprise-ready, Serverless NoSQL With Predictable, Scalable Performance 1st edition., Packt Publishing Ltd., 2024.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Full titleamazon dynamodb the definitive guide explore enterprise ready serverless nosql with predictable scalable performance
Authordhingra aman
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5050 |a Cover -- Title Page -- Copyright and Credits -- Dedication -- Contributors -- Table of Contents -- Preface -- Part 1: Introduction and Setup -- Chapter 1: Amazon DynamoDB in Action -- Reviewing the role of NoSQL and DynamoDB in the current database market -- Comparing RDBMS and NoSQL -- a high-level overview -- How and where does DynamoDB fit into all of this? -- DynamoDB case studies -- Amazon retail -- Disney+ -- Workloads not suited for DynamoDB -- Summary -- References -- Chapter 2: The AWS Management Console and SDKs -- Working with the AWS Management Console
5058 |a Creating and using a DynamoDB table -- Navigating and working with items -- A brief overview of how throughput is charged -- Getting familiar with the AWS SDK -- Using the AWS SDK -- Using AWS Lambda and installing DynamoDB local -- Installing DynamoDB local -- Summary -- References -- Chapter 3: NoSQL Workbench for DynamoDB -- Technical requirements -- Setting up NoSQL Workbench -- Downloading NoSQL Workbench -- Installing NoSQL Workbench -- Viewing an existing data model -- Tool overview -- Diving deeper into the tool -- Making changes to the Employee data model -- Adding additional data
5058 |a Committing the model to DynamoDB -- Summary -- References -- Part 2: Core Data Modeling -- Chapter 4: Simple Key-Value -- What is key-value? -- Reviewing key-value use cases across industries -- Example database operations of the simple key-value kind -- Learning about DynamoDB data types -- Scalar types -- Document types -- Set types -- Learning about DynamoDB data limitations -- Throughput -- Item sizes -- Reserved words -- Page sizes -- Limitations on data types and dependent functionalities -- Summary -- References -- Chapter 5: Moving from a Relational Mindset
5058 |a Realizing and understanding relationships in data -- All data is relational -- Denormalization -- storing multiple copies is OK -- Data that needs to be accessed together must be stored together -- Multi-table versus single-table design -- Breaking down your data -- Single table -- swapping extra tables for items -- Breaking down items -- Handling large items -- Summary -- References -- Chapter 6: Read Consistency, Operations, and Transactions -- Understanding the read consistency model -- Strong consistency -- Eventual consistency -- Choosing the right read consistency mode -- Reviewing read APIs
5058 |a GetItem -- BatchGetItem -- Query -- Scan -- PartiQL read operations -- Transactions and atomicity -- Differences from traditional RDBMS transactions -- Reviewing key highlights of transactions -- Using transactional APIs in your application -- Summary -- References -- Chapter 7: Vertical Partitioning -- Understanding item collections -- Breaking down our data for vertical partitioning -- Naming conventions -- Naming conventions for attribute names -- Naming conventions for attribute values -- Future growth and expansion -- Summary -- References -- Chapter 8: Secondary Indexes
520 |a 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 Description This 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.
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