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Programming MapReduce with Scalding

You're reading from   Programming MapReduce with Scalding A practical guide to designing, testing, and implementing complex MapReduce applications in Scala

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783287017
Length 148 pages
Edition 1st Edition
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Author (1):
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Antonios Chalkiopoulos Antonios Chalkiopoulos
Author Profile Icon Antonios Chalkiopoulos
Antonios Chalkiopoulos
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Table of Contents (11) Chapters Close

Preface 1. Introduction to MapReduce FREE CHAPTER 2. Get Ready for Scalding 3. Scalding by Example 4. Intermediate Examples 5. Scalding Design Patterns 6. Testing and TDD 7. Running Scalding in Production 8. Using External Data Stores 9. Matrix Calculations and Machine Learning Index

Chapter 7. Running Scalding in Production

We now know how to implement complex pipelines, use appropriate design patterns, and test our Scalding data processing applications in multiple layers. In this chapter, we will look at how to productionize a job, and more specifically, we will see how to:

  • Deploy, execute, and schedule
  • Coordinate task execution
  • Configure using property files and Hadoop parameters
  • Monitor and optimize
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