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Big Data Analytics with Hadoop 3

You're reading from   Big Data Analytics with Hadoop 3 Build highly effective analytics solutions to gain valuable insight into your big data

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788628846
Length 482 pages
Edition 1st Edition
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Author (1):
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Sridhar Alla Sridhar Alla
Author Profile Icon Sridhar Alla
Sridhar Alla
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Table of Contents (13) Chapters Close

Preface 1. Introduction to Hadoop FREE CHAPTER 2. Overview of Big Data Analytics 3. Big Data Processing with MapReduce 4. Scientific Computing and Big Data Analysis with Python and Hadoop 5. Statistical Big Data Computing with R and Hadoop 6. Batch Analytics with Apache Spark 7. Real-Time Analytics with Apache Spark 8. Batch Analytics with Apache Flink 9. Stream Processing with Apache Flink 10. Visualizing Big Data 11. Introduction to Cloud Computing 12. Using Amazon Web Services

Big Data Processing with MapReduce

This chapter will puts everything we have learned in the book into a practical use case of building an end-to-end pipeline to perform big data analytics.

In a nutshell, the following topics will be covered throughout this chapter:

  • The MapReduce framework
  • MapReduce job types:
    • Single mapper jobs
    • Single mapper reducer jobs
    • Multiple mappers reducer jobs
  • MapReduce patterns:
    • Aggregation patterns
    • Filtering patterns
    • Join patterns
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