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Learning Hadoop 2

You're reading from   Learning Hadoop 2 Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2

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Product type Paperback
Published in Feb 2015
Publisher Packt
ISBN-13 9781783285518
Length 382 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction FREE CHAPTER 2. Storage 3. Processing – MapReduce and Beyond 4. Real-time Computation with Samza 5. Iterative Computation with Spark 6. Data Analysis with Apache Pig 7. Hadoop and SQL 8. Data Lifecycle Management 9. Making Development Easier 10. Running a Hadoop Cluster 11. Where to Go Next Index

AWS resources

Many Hadoop technologies can be deployed on AWS as part of a self-managed cluster. However, just as Amazon offers support for Elastic MapReduce, which handles Hadoop as a managed service, there are a few other services that are worth mentioning.

SimpleDB and DynamoDB

For some time, AWS has offered SimpleDB as a hosted service providing an HBase-like data model.

It has, however, largely been superseded by a more recent service from AWS, DynamoDB, located at http://aws.amazon.com/dynamodb. Though its data model is very similar to that of SimpleDB and HBase, it is aimed at a very different type of application. Where SimpleDB has quite a rich search API but is very limited in terms of size, DynamoDB provides a more constrained though constantly evolving API, but with a service guarantee of near-unlimited scalability.

The DynamoDB pricing model is particularly interesting; instead of paying for a certain number of servers hosting the service, you allocate a certain capacity for read...

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