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  • Book Overview & Buying Mastering DynamoDB
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Mastering DynamoDB

Mastering DynamoDB

By : Tanmay Deshpande
2.8 (5)
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Mastering DynamoDB

Mastering DynamoDB

2.8 (5)
By: Tanmay Deshpande
Buy this Book

Overview of this book

If you have interest in DynamoDB and want to know what DynamoDB is all about and become proficient in using it, this is the book for you. If you are an intermediate user who wishes to enhance your knowledge of DynamoDB, this book is aimed at you. Basic familiarity with programming, NoSQL, and cloud computing concepts would be helpful.
Table of Contents (11 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. Getting Started
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1. Getting Started
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DynamoDB's history
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What is DynamoDB?
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Data model concepts
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How do I get started?
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Summary
2
2. Data Models
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2. Data Models
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Primary key
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Secondary indexes
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Data types
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Operations on tables
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Operations on items
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Query and scan operations
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Modeling relationships
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Summary
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3. How DynamoDB Works
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3. How DynamoDB Works
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Service-oriented architecture
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Design features
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Architecture
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Functional components
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Summary
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4. Best Practices
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4. Best Practices
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Table level best practices
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Item best practices
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Query and scan best practices
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Local secondary indexes best practices
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Global secondary index best practices
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Summary
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5. Advanced Topics
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5. Advanced Topics
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Monitoring DynamoDB tables
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Using IAM to provide access control to DynamoDB
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Limitations in DynamoDB
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Error handling
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Summary
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6. Integrating DynamoDB with Other AWS Components
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6. Integrating DynamoDB with Other AWS Components
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Integrating with AWS EMR
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Integrating with AWS Redshift
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Integrating with AWS CloudSearch
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Summary
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7. DynamoDB – Use Cases
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7. DynamoDB – Use Cases
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Bookstore application
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Knowledge market website
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Summary
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8. Useful Libraries and Tools
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8. Useful Libraries and Tools
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Libraries
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Tools
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Summary
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9. Developing Mobile Apps Using DynamoDB
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9. Developing Mobile Apps Using DynamoDB
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Authentication and Authorization
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Performing operations using mobile SDKs
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Summary
10
Index
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Index

Data types

DynamoDB supports various data types, broadly classified into the following two types:

  • Scalar data types (string, number, and binary)
  • Multivalued data types (string set, number set, and binary set)

Scalar data types

Scalar data types are simply single-value, simple data types. DynamoDB supports the following three scalar data types:

  • String
  • Number
  • Binary

String

The string is a multipurpose, useful data type that is similar to what we use in various programming languages. DynamoDB strings support UTF-8 binary encoding. DynamoDB does not put restrictions on the string size limit, but it specifies that the total attribute size should not be greater than 64 KB and we already know that attribute value is calculated considering the attribute name (key) plus attribute value together. When it comes to ordered query results, DynamoDB does the comparison using ASCII character code value, which means smaller letters (a,b,c,...) are greater than capital letters (A,B,C,…). One thing to note...

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Tech Concepts
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Programming languages
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