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Apache Hive Essentials

You're reading from Apache Hive Essentials Essential techniques to help you process, and get unique insights from, big data

Product type Paperback

Published in Jun 2018

Publisher Packt

ISBN-13 9781788995092

Length 210 pages

Edition 2nd Edition

Languages

Java

Tools

Hive

Concepts

Big Data

Author (1):

Dayong Du

View More author details

Table of Contents (12) Chapters

Preface

1. Overview of Big Data and Hive FREE CHAPTER

2. Setting Up the Hive Environment

3. Data Definition and Description

4. Data Correlation and Scope

5. Data Manipulation

6. Data Aggregation and Sampling

7. Performance Considerations

8. Extensibility Considerations

9. Security Considerations

10. Working with Other Tools

11. Other Books You May Enjoy

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Working with Other Tools

As one of the earliest and most popular SQL-over-Hadoop tools, Hive has many use cases when it works with other tools to offer an end-to-end big data solution. In this chapter, we will discuss how Hive works with other tools in the big data ecosystem for the following areas:

The JDBC/ODBC connector
The NoSQL database
The Hue/Ambari Hive view
HCatalog
Oozie
Spark
Hivemall

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Authors (1)

Dayong Du

Dayong Du

Dayong Du has all his career dedicated to enterprise data and analytics for more than 10 years, especially on enterprise use case with open source big data technology, such as Hadoop, Hive, HBase, Spark, etc. Dayong is a big data practitioner as well as author and coach. He has published the 1st and 2nd edition of Apache Hive Essential and coached lots of people who are interested to learn and use big data technology. In addition, he is a seasonal blogger, contributor, and advisor for big data start-ups, co-founder of Toronto big data professional association.

See other products by Dayong Du

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