required_books.md

Required Books, Papers, and Tutorials

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Required Books (MapReduce and Spark)

1. Data-Intensive Text Processing with MapReduce by Jimmy Lin and Chris Dyer

   • For the first 3 weeks of class

2. Data Algorithms with Spark by Mahmoud Parsian

   • For the last 7 weeks of class
   • Source code @github.com -- Data Algorithms with Spark by Mahmoud Parsian

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Required Readings (MapReduce and Spark)

1. A Very Brief Introduction to MapReduce by Diana MacLean

2. Introduction to MapReduce by Mahmoud Parsian

3. MapReduce: Simplified Data Processing on Large Clusters, Jeffrey Dean and Sanjay Ghemawat

4. A Gentle Introduction to Spark by Databricks

5. PySpark Tutorial For Beginners (Spark with Python)