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Big Data Analytics

You're reading from   Big Data Analytics Real time analytics using Apache Spark and Hadoop

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781785884696
Length 326 pages
Edition 1st Edition
Tools
Concepts
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Author (1):
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Venkat Ankam Venkat Ankam
Author Profile Icon Venkat Ankam
Venkat Ankam
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Table of Contents (18) Chapters Close

Big Data Analytics
Credits
About the Author
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface
1. Big Data Analytics at a 10,000-Foot View FREE CHAPTER 2. Getting Started with Apache Hadoop and Apache Spark 3. Deep Dive into Apache Spark 4. Big Data Analytics with Spark SQL, DataFrames, and Datasets 5. Real-Time Analytics with Spark Streaming and Structured Streaming 6. Notebooks and Dataflows with Spark and Hadoop 7. Machine Learning with Spark and Hadoop 8. Building Recommendation Systems with Spark and Mahout 9. Graph Analytics with GraphX 10. Interactive Analytics with SparkR Index

Hive on Spark


The Hive on Spark project was created to enable existing Hive users to run hive queries directly on the Spark execution engine instead of MapReduce.

Hive on Spark (https://issues.apache.org/jira/browse/HIVE-7292) is supported in the Cloudera distribution. To start using the service, change the execution to Spark in the Hive or beeline client:

hive> set hive.execution.engine=spark;
0: jdbc:hive2://localhost:10000/default> set hive.execution.engine=spark;
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