The data-algorithms-with-spark's intro from mjboothaus

Data Algorithms with Spark by Mahmoud Parsian

"... This book will be a great resource for
both readers looking to implement existing
algorithms in a scalable fashion and readers
who are developing new, custom algorithms
using Spark. ..."

Dr. Matei Zaharia
Original Creator of Apache Spark

FOREWORD by Dr. Matei Zaharia

Data Algorithms with Spark by Mahmoud Parsian

Foreword by Dr. Matei Zaharia (Original Creator of Apache Spark)

Author: Mahmoud Parsian

Goal of this book: enable writing efficient & simpler PySpark code for data algorithms using Spark

Mahmoud Parsian's Author Page @Amazon
Mahmoud Parsian's Author Page @LinkedIn
This new O'Reilly book is the successor Edition of Data Algorithms (published by O'Reilly)
This book uses PySpark (much simpler and readable)
Published date: April 8, 2022
@OReillyMedia: Data Algorithms with Spark, By @mahmoudparsian
Autor Contact: [ Email ] [ Mahmoud Parsian @LinkedIn ][ Mahmoud Parsian @GitHub ]

Github Chapter Solutions

This GitHub repository will host all source code and scripts for Data Algorithms with Spark
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

Software:

Spark	Python	Scala	Java
Apache Spark 3.2.0	Python 3.7.2	Scala 2.13	Java 8

Chapter	Title
Bonus Chapters	Tutorials: RDDs and DataFrames Top-N, UDF, Partitioning, TF-IDF, Correlation Correlation, K-mers, anagrams, wordcount, ...
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