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Apache Hive Essentials

You're reading from  Apache Hive Essentials

Product type Book
Published in Feb 2015
Publisher Packt
ISBN-13 9781783558575
Pages 208 pages
Edition 1st Edition
Languages
Author (1):
Dayong Du Dayong Du
Profile icon Dayong Du

Table of Contents (17) Chapters

Apache Hive Essentials
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Overview of Big Data and Hive 2. Setting Up the Hive Environment 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

Summary


After going through this chapter, we are now able to understand why and when to use big data instead of a traditional relational database. We also understand the difference between batch processing, real-time processing, and stream processing. We got familiar with the Hadoop ecosystem, especially Hive. We have also gone back in time and brushed through the history of database and warehouse to big data along with some big data terms, the Hadoop ecosystem, Hive architecture, and the advantage of using Hive. In the next chapter, we will practice setting up Hive and all the tools needed to get started using Hive in the command line.

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Apache Hive Essentials
Published in: Feb 2015 Publisher: Packt ISBN-13: 9781783558575
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