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Apache Hive Essentials

You're reading from   Apache Hive Essentials Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive

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Product type Paperback
Published in Feb 2015
Publisher Packt
ISBN-13 9781783558575
Length 208 pages
Edition 1st Edition
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Author (1):
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Dayong Du Dayong Du
Author Profile Icon Dayong Du
Dayong Du
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Table of Contents (12) Chapters Close

Preface 1. Overview of Big Data and Hive 2. Setting Up the Hive Environment FREE CHAPTER 3. Data Definition and Description 4. Data Selection and Scope 5. Data Manipulation 6. Data Aggregation and Sampling 7. Performance Considerations 8. Extensibility Considerations 9. Security Considerations 10. Working with Other Tools Index

Starting Hive in the cloud

Right now, Amazon EMR, Cloudera Director, and Microsoft Azure HDInsight Service are some of the major vendors offering matured Hadoop and Hive services in the cloud. Using the cloud version of Hive is very convenient. It almost requests no installation and setup.

Amazon EMR (http://aws.amazon.com/elasticmapreduce/) is the earliest Hadoop service in the cloud. However, it is not a pure open sourced version of Hadoop, but is customized to run only on AWS cloud. Cloudera is one of the first few players that offered open source Hadoop solutions to the enterprise. Since the middle of October 2014, Cloudera has delivered Cloudera Director (http://www.cloudera.com/content/cloudera/en/products-and-services/director.html), which opens up Hadoop deployments in the cloud through a simple, self-service interface, and is fully supported on Amazon Web Services. Windows Azure HDInsight Service (http://azure.microsoft.com/en-us/documentation/services/hdinsight/) is a service that...

You have been reading a chapter from
Apache Hive Essentials
Published in: Feb 2015
Publisher: Packt
ISBN-13: 9781783558575
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