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Author: Mahmoud Parsian
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Email: [email protected]
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This new book (to be published by O'Reilly) is the 2nd Edition of Data Algorithms (published by O'Reilly)
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The first edition used Java for Spark, but for the new book, I will use PySpark (much simpler and readable)
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This GitHub repository will host all source code and scripts for Data Algorithms with Spark
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Estimated Publication date: April 2022
Chapter solutions are provided in PySpark and Scala
- PySpark solutions are provided by Mahmoud Parsian
- Scala solutions are provided by Deepak Kumar and Biman Mandal
Spark | Python | Scala | Java |
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Apache Spark 3.2.0 | Python 3.7.2 | Scala 2.13 | Java 8 |
Chapter | Title |
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Bonus Chapters | Bonus Chapters (TF-IDF, Correlation, ...) |
Chapter 1 | Introduction to Data Algorithms |
Chapter 2 | Transformations in Action |
Chapter 3 | Mapper Transformations |
Chapter 4 | Reductions in Spark |
Chapter 5 | Partitioning Data |
Chapter 6 | Graph Algorithms |
Chapter 7 | Interacting with External Data Sources |
Chapter 8 | Ranking Algorithms |
Chapter 9 | Fundamental Data Design Patterns |
Chapter 10 | Common Data Design Patterns |
Chapter 11 | Join Design Patterns |
Chapter 12 | Feature Engineering in PySpark |
![Data Algorithms with Spark](images/data_algorithms_with_spark.jpg)