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Spark Cookbook

You're reading from   Spark Cookbook With over 60 recipes on Spark, covering Spark Core, Spark SQL, Spark Streaming, MLlib, and GraphX libraries this is the perfect Spark book to always have by your side

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Product type Paperback
Published in Jul 2015
Publisher
ISBN-13 9781783987061
Length 226 pages
Edition 1st Edition
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Author (1):
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Rishi Yadav Rishi Yadav
Author Profile Icon Rishi Yadav
Rishi Yadav
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Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Started with Apache Spark 2. Developing Applications with Spark FREE CHAPTER 3. External Data Sources 4. Spark SQL 5. Spark Streaming 6. Getting Started with Machine Learning Using MLlib 7. Supervised Learning with MLlib – Regression 8. Supervised Learning with MLlib – Classification 9. Unsupervised Learning with MLlib 10. Recommender Systems 11. Graph Processing Using GraphX 12. Optimizations and Performance Tuning Index

Index

A

  • Alternating Least Squares (ALS)
    • about / Collaborative filtering using explicit feedback
  • Amazon EC2
    • about / Launching Spark on Amazon EC2
    • features / Launching Spark on Amazon EC2
    • Spark, launching / Launching Spark on Amazon EC2, Getting ready, How to do it...
    • URL / Getting ready
  • Amazon Elastic Block Storage (EBS)
    • about / Loading data from Amazon S3
  • Amazon Elastic Compute Cloud (EC2)
    • about / Loading data from Amazon S3
  • Amazon S3
    • data, loading / Loading data from Amazon S3, How to do it...
    • about / Loading data from Amazon S3
    • URL / Getting ready
  • Amazon Web Services (AWS)
    • about / Loading data from Amazon S3
    • URL / How to do it...
  • Apache Cassandra
    • about / Loading data from Apache Cassandra
    • data, loading / Loading data from Apache Cassandra, How to do it..., There's more...
  • arbitrary source
    • data, saving / Loading and saving data from an arbitrary source, How to do it...
    • data, loading / Loading and saving data from...
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