Additional Optional Books and References

###1. PySpark Algorithms by Mahmoud Parsian

###2. Source code @github.com -- PySpark Algorithms by Mahmoud Parsian

###3. Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman

###4. Big Data Now -- book

###5. Designing Good Mapreduce Algorithms by Ullman

###6: Bigtable: A Distributed Storage System for Structured Data

###7. Relational Algebra and MapReduce

###8. MapReduce examples

###9. MapReduce and relational algebra

###10. Spark Streaming Tutorial

###11. Billion Taxi Rides on Amazon Athena

12. PySpark Cookbook