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DynamoDB Applied Design Patterns

DynamoDB Applied Design Patterns

By : Uchit Hamendra Vyas
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DynamoDB Applied Design Patterns

DynamoDB Applied Design Patterns

3 (2)
By: Uchit Hamendra Vyas
Buy this Book

Overview of this book

If you are an intermediate to advanced DynamoDB developer looking to learn the best practices associated with efficient data modeling, this book is for you.
Table of Contents (12 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Data Modeling with DynamoDB
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1. Data Modeling with DynamoDB
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Data model
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Efficient use of primary keys
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Basics of indexes
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DynamoDB data types
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Summary
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2. DynamoDB Interfaces
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2. DynamoDB Interfaces
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The management console
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The Eclipse plugin
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The command-line interface
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Summary
3
3. Tools and Libraries of AWS DynamoDB
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3. Tools and Libraries of AWS DynamoDB
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Creating your first SDK project
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Java SDK operations
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DynamoDB Local
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Summary
4
4. Working with Secondary Indexes
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4. Working with Secondary Indexes
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Secondary indexes
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Projection
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Item sharding
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Best practices with secondary indexes
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Summary
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5. Query and Scan Operations in DynamoDB
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5. Query and Scan Operations in DynamoDB
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Querying tables
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Scanning tables
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Parallel scanning
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Summary
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6. Working with the DynamoDB API
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6. Working with the DynamoDB API
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Data format
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HTTP requests
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Error handling
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Operations in DynamoDB
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Summary
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7. Distributed Locking with DynamoDB
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7. Distributed Locking with DynamoDB
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Distributed locking
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Importance of distributed locking
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Summary
8
8. DynamoDB with Redshift, Data Pipeline, and MapReduce
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8. DynamoDB with Redshift, Data Pipeline, and MapReduce
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Loading data from DynamoDB into Redshift
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Importing and exporting data between DynamoDB and S3
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Exporting, importing, querying, and joining tables using AWS MapReduce
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Summary
9
9. DynamoDB – Best Practices
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9. DynamoDB – Best Practices
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DynamoDB use cases
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Real-time problem statements and their solutions
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AWS DynamoDB on mobile
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Uniform workload
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Time series tables
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When to use and when not to use DynamoDB
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Summary
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A. Comparing DynamoDB
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A. Comparing DynamoDB
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DynamoDB versus MongoDB
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DynamoDB versus Cassandra
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DynamoDB versus S3
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DynamoDB versus Redis
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Index
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Index

Chapter 1. Data Modeling with DynamoDB

DynamoDB is a NoSQL database fully managed by Amazon, and it is made freely available (to a certain limit) as a web service. The meaning of fully managed is that all the patch installation, updates, data backup, replication, and all other security measures are taken care of by Amazon itself. Almost every NoSQL database has its own data model. A programmer or application designer always evaluates the strengths and weaknesses of a database by looking at its data model. This is the reason why we have taken DynamoDB data modeling for our primary discussion.

In this chapter we are going to discuss the basics of DynamoDB. The chapter is divided into four sections:

  • Discussing DynamoDB data model concepts, such as tables, items, and attributes
  • Continuing to discuss primary key creation and usage
  • Using secondary indexes
  • The different data types in DynamoDB
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Tech Concepts
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Programming languages
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