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‎README.md‎

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## [Github Chapter Solutions](./code/)
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* This GitHub repository will host all source code and scripts for
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## Table of Contents
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| Chapter | Title |
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|-----------------------|------------------|
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| Glossary | [Glossary of big data, MapReduce, Spark](https://github.com/mahmoudparsian/big-data-mapreduce-course/blob/master/slides/glossary/glossary_of_big_data_and_mapreduce.md) |
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| Bonus <br> Chapters | <ul><li>[Word Count by RDD and DataFrame](./code/bonus_chapters/wordcount/python/README.md)</li><li>[Tutorials: RDDs and DataFrames](./code/bonus_chapters/)</li><li>[Top-N, UDF, Partitioning, TF-IDF, ...](./code/bonus_chapters/)</li><li>[Correlation, K-mers, anagrams, ...](./code/bonus_chapters/)</li><li>[Monoid: Design Principle](./wiki-spark/docs/monoid/README.md)</li></ul> |
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| Chapter 1 | [Introduction to Data Algorithms](./code/chap01/) |
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| Chapter 2 | [Transformations in Action](./code/chap02/) |
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| Chapter 3 | [Mapper Transformations](./code/chap03/) |
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| Chapter 4 | [Reductions in Spark](./code/chap04/) |
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| Chapter 5 | [Partitioning Data](./code/chap05/) |
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| Chapter 6 | [Graph Algorithms](./code/chap06/) |
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| Chapter 7 | [Interacting with External Data Sources](./code/chap07/) |
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| Chapter 8 | [Ranking Algorithms](./code/chap08/) |
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| Chapter 9 | [Fundamental Data Design Patterns](./code/chap09/) |
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| Chapter 10 | [Common Data Design Patterns](./code/chap10/) |
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| Chapter 11 | [Join Design Patterns](./code/chap11/) |
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| Chapter 12 | [Feature Engineering in PySpark](./code/chap12/) |
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| Chapter | Title |
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|--------------|------------------|
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| Glossary | [Glossary of Big Data, MapReduce, Spark](https://github.com/mahmoudparsian/big-data-mapreduce-course/blob/master/slides/glossary/glossary_of_big_data_and_mapreduce.md)
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| Chapter 1 | [Introduction to Data Algorithms](./code/chap01/) |
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| Chapter 2 | [Transformations in Action](./code/chap02/) |
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| Chapter 3 | [Mapper Transformations](./code/chap03/) |
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| Chapter 4 | [Reductions in Spark](./code/chap04/) |
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| Chapter 5 | [Partitioning Data](./code/chap05/) |
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| Chapter 6 | [Graph Algorithms](./code/chap06/) |
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| Chapter 7 | [Interacting with External Data Sources](./code/chap07/) |
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| Chapter 8 | [Ranking Algorithms](./code/chap08/) |
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| Chapter 9 | [Fundamental Data Design Patterns](./code/chap09/) |
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| Chapter 10 | [Common Data Design Patterns](./code/chap10/) |
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| Chapter 11 | [Join Design Patterns](./code/chap11/) |
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| Chapter 12 | [Feature Engineering in PySpark](./code/chap12/) |
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-----
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--------
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## Bonus Chapters
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| Bonus Chapter | Title / Description |
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|-----------------------------------|----------------------|
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| Glossary | [Glossary of big data, MapReduce, Spark](https://github.com/mahmoudparsian/big-data-mapreduce-course/blob/master/slides/glossary/glossary_of_big_data_and_mapreduce.md) |
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| Word Count | [Solutions for Word Count using RDDs and DataFrames](./code/bonus_chapters/wordcount/) |
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| Anagrams | [Find words, which are anagrams](./code/bonus_chapters/anagrams/) |
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| Lambda Expressions | [Using Lambda Expressions in PySpark programs](./code/bonus_chapters/lambda_expressions/) |
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| TF-IDF | [Term Frequency - Inverse Document Frequency](./code/bonus_chapters/TF-IDF/) |
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| K-mers | [K-mers for DNA Sequences](./code/bonus_chapters/k-mers/) |
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| Correlation | [All vs. All Correlation](./code/bonus_chapters/correlation/) |
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| Mapping Partitions | [`mapPartitions()` Complete Example](./code/bonus_chapters/mappartitions/) |
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| UDF | [User-Defined Function Examples](./code/bonus_chapters/UDF/) |
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| DataFrames Transformations | [Examples on Creation and Transformation of DataFrames](./code/bonus_chapters/dataframes/) |
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| DataFrames Tutorials | [DataFrames Tutorials: from collections and CSV text files](./code/bonus_chapters/dataframes/) |
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| Join Operations | [Examples on join of RDDs and DataFrames](./code/bonus_chapters/join/)|
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| PySpark Tutorial 101 | [Examples on using PySpark RDDs and DataFrames](./code/bonus_chapters/pyspark_tutorial/) |
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| Physical Data Partitioning | [Tutorial of Physical Data Partitioning](./code/bonus_chapters/physical_partitioning/README.md) |
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| Monoids and Combiners | [Monoid as a Design Principle](https://github.com/mahmoudparsian/data-algorithms-with-spark/blob/master/wiki-spark/docs/monoid/README.md) |
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<a href="https://www.oreilly.com/library/view/data-algorithms-with/9781492082378/">
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<a href="https://www.oreilly.com/library/view/data-algorithms-with/9781492082378">
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<img
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alt="Data Algorithms with Spark"
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src="images/data_algorithms_with_spark_knowledge_is_power.jpeg"

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