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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
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Dayong Du
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Table of Contents (17) Chapters Close

Apache Hive Essentials
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Overview of Big Data and Hive FREE CHAPTER 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

JDBC / ODBC connector


JDBC/ODBC is one of the most common ways for Hive to work with other tools. Hadoop vendors, such as Cloudera and Hortonworks, offer free Hive JDBC/ODBC drivers so that Hive can be connected through these drivers; these can be found at the following links:

We can use these JDBC/ODBC connectors to connect Hive to tools such as the following:

  • A command-line utility such as Beeline, mentioned in Chapter 2, Setting Up the Hive Environment

  • Integrated development environment such as Oracle SQL Developer, mentioned in Chapter 2, Setting Up the Hive Environment

  • Data extraction, transformation, loading, and integration tools, such as Talend Open Studio

  • Business intelligence reporting tools, such as JasperReports and QlikView

  • Data analysis tools such as Microsoft Excel 2013

  • Data visualization tools such as Tableau

Since...

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