Chapter 1, Data Modeling with DynamoDB, will teach users about data model concepts, including tables, items and attributes, primary key, and indexes and their design patterns.

Chapter 2, DynamoDB Interfaces, will help users gain knowledge of how to access DynamoDB in the management console. We will also take a look at the command-line interface and the Eclipse plugin.

Chapter 3, Tools and Libraries of AWS DynamoDB, will teach users what DynamoDB Local is, what the CLI commands are, and how we can use CLI from a developer/DBA perspective.

Chapter 4, Working with Secondary Indexes, will teach users what global and local secondary indexes are and what the importance of secondary indexes in DynamoDB is. Users will learn managed auto-sharding NoSQL databases that automatically reshard based on SLA.

Chapter 5, Query and Scan Operations in DynamoDB, will teach users about parallel scanning operations for DynamoDB. Users will learn how to use query and scan operations on DynamoDB tables and how to get results from query and scan operations.

Chapter 6, Working with the DynamoDB API, will take users through the Amazon DynamoDB API and its format. Users will learn how to call an API from applications to DynamoDB and how to retrieve data in an appropriate format that can be used with applications.

Chapter 7, Distributed Locking with DynamoDB, will provide readers with the information to support DynamoDB as an excellent choice for a distributed locking service, while briefly exploring the what, why, and how of locking.

Chapter 8, DynamoDB with Redshift, Data Pipeline, and MapReduce, will help readers work closely with DynamoDB from Redshift, S3, and MapReduce, and we will learn how to collaborate these AWS services with DynamoDB efficiently.

Chapter 9, DynamoDB – Best Practices, will help readers to deep dive into the best design use case architectures for DynamoDB. They will also learn real-time problem statements and their best solutions.

Appendix, Comparing DynamoDB, will teach users how Amazon DynamoDB is different than other NoSQL databases. So from that comparison, users will come to know the importance of DynamoDB while they are deploying their application with a NoSQL database.

To start using this book, you need the following things:

This book will be ideal for competent DynamoDB developers, architects, and DevOps. The reader should have a basic knowledge and understanding of AWS and different databases to allow efficient programming of core elements and applications with DynamoDB.

In this book, you will find a number of styles of text that distinguish between different kinds of information. Here are some examples of these styles, and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "Therefore, during the creation of the Tbl_Book table in DynamoDB, we will specify only the BookTitle and Author attributes."

A block of code is set as follows:

aws dynamodb create-table --table-name Tbl_Book
--attribute-definitions AttributeName=BookTitle,AttributeType=S AttributeName=Author,AttributeType=S --key-schema AttributeName=BookTitle,KeyType=HASH AttributeName=Author,KeyType=RANGE 
--provisioned-throughput ReadCapacityUnits=2,WriteCapacityUnits=2

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

ScanRequest scanRequest = new ScanRequest()
  .withTableName("Tbl_Book");
ScanResult result = client.scan(scanRequest);

Any command-line input or output is written as follows:

copytable_uchitredshift from 'dynamodb:// table_uchitdynamodb' 
credentials 'aws_access_key_id=xxxxx;aws_secret_access_key=xxx' 
readratio 50;

New terms and important words are shown in bold. Words that you see on the screen, in menus or dialog boxes for example, appear in the text like this: "To view the inserted item, click on the Browse Items tab, select the Scan radio button, and click on the Go button."

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