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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
3
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
4
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
5
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
6
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
7
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

Query and scan best practices

Query and scan, as we know, are heavy operations and mostly deal with read capacity units provisioned for the particular table. It is very important to take care of even distribution of load considering that the read capacity units get utilized properly. Here are some best practices that you should follow in order to avoid getting exceptions about exceeding provisioned throughput.

Maintaining even read activity

We know that a scan operation fetches 1 MB of data for a single request per page. We also know that an eventually consistent read operation consumes two 4 KB read capacity units per second. This means that a single scan operation costs (1 MB / 4 KB items / two eventually consistent reads) = 128 reads, which would be quite high if you have set your provisioned throughput very low. This sudden burst of data would cause throttling of the provisioned throughput for the given table. Also, meanwhile, if you get a very important request, that request would get...

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Tech Concepts
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Programming languages
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Mastering DynamoDB
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