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Apache Hive Essentials. - Second Edition

You're reading from  Apache Hive Essentials. - Second Edition

Product type Book
Published in Jun 2018
Publisher Packt
ISBN-13 9781788995092
Pages 210 pages
Edition 2nd Edition
Languages
Author (1):
Dayong Du Dayong Du
Profile icon Dayong Du

Table of Contents (12) Chapters

Preface Overview of Big Data and Hive Setting Up the Hive Environment Data Definition and Description Data Correlation and Scope Data Manipulation Data Aggregation and Sampling Performance Considerations Extensibility Considerations Security Considerations Working with Other Tools Other Books You May Enjoy

Summary

After going through this chapter, we are now able to understand when and why to use big data instead of a traditional relational database. We also learned about the difference between batch processing, real-time processing, and stream processing. We are now familiar with the Hadoop ecosystem, especially Hive. We have traveled back in time and brushed through the history of databases, data warehouse, and big data. We also explored some big data terms, the Hadoop ecosystem, the Hive architecture, and the advantage of using Hive.

In the next chapter, we will practice installing Hive and review all the tools needed to start using Hive in the command-line environment.

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Apache Hive Essentials. - Second Edition
Published in: Jun 2018 Publisher: Packt ISBN-13: 9781788995092
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