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DynamoDB Cookbook

You're reading from   DynamoDB Cookbook Over 90 hands-on recipes to design Internet scalable web and mobile applications with Amazon DynamoDB

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781784393755
Length 266 pages
Edition 1st Edition
Concepts
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Author (1):
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Tanmay Deshpande Tanmay Deshpande
Author Profile Icon Tanmay Deshpande
Tanmay Deshpande
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Toc

Table of Contents (12) Chapters Close

Preface 1. Taking Your First Steps with DynamoDB FREE CHAPTER 2. Operating with DynamoDB Tables 3. Manipulating DynamoDB Items 4. Managing DynamoDB Indexes 5. Exploring Higher Level Programming Interfaces for DynamoDB 6. Securing DynamoDB 7. DynamoDB Best Practices 8. Integrating DynamoDB with other AWS Services 9. Developing Web Applications using DynamoDB 10. Developing Mobile Applications using DynamoDB Index

Importing data from AWS S3 to DynamoDB using AWS Data Pipeline


In this recipe, we will see how to import data from AWS S3 and insert it into the DynamoDB table using AWS Data Pipeline. AWS Data Pipeline helps us create various workflows that can be used to manage the data flow between various AWS services. You can read more about AWS pipeline at https://aws.amazon.com/datapipeline/.

Getting ready

To get started with this recipe, you should know how to use the DynamoDB console. Also, you should have created a table called productTable, and you should also have an AWS S3 bucket containing the data to be imported to DynamoDB. The data needs to be in a special format so that the process should be able to identify the attributes and its data types easily. Here is the sample data:

features{"m":{"screen":{"s":"4.7\" LED-backlit IPS LCD Multi-Touchscreen Shatter proof glass"},"camera":{"s":"8MP"},"intMem":{"s":"128GB"},"processor":{"s":"Dual-Core 1.4 GHz Cyclone (ARM v8-based)"}}}id{"s":"2"}price{...
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