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Learning Apache Spark 2

You're reading from   Learning Apache Spark 2 A beginner's guide to real-time Big Data processing using the Apache Spark framework

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781785885136
Length 356 pages
Edition 1st Edition
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Author (1):
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Muhammad Asif Abbasi Muhammad Asif Abbasi
Author Profile Icon Muhammad Asif Abbasi
Muhammad Asif Abbasi
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Table of Contents (12) Chapters Close

Preface 1. Architecture and Installation 2. Transformations and Actions with Spark RDDs FREE CHAPTER 3. ETL with Spark 4. Spark SQL 5. Spark Streaming 6. Machine Learning with Spark 7. GraphX 8. Operating in Clustered Mode 9. Building a Recommendation System 10. Customer Churn Prediction Theres More with Spark

References


The following articles, blogs, and videos have been used for the contents of this chapter. They have also been included to provide users with further reading material:

  1. Coursera course on Mining Massive Datasets by Stanford University.
  2. The Long Tail - https://www.wired.com/2004/10/tail/
  3. Harvard CS50 - Recommender Systems - https://www.youtube.com/watch?v=Eeg1DEeWUjA
  4. https://en.wikipedia.org/wiki/Cosine_similarity
  5. https://en.wikipedia.org/wiki/Jaccard_index
  6. F. Maxwell Harper and Joseph A. Konstan. 2015. The MovieLens Datasets: History and Context. ACM Transactions on Interactive Intelligent Systems (TiiS) 5, 4, Article 19 (December 2015), 19 pages. DOI=http://dx.doi.org/10.1145/2827872
  7. http://ampcamp.berkeley.edu/big-data-mini-course/movie-recommendation-with-mllib.html
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