Data Algorithms with Spark by Mahmoud Parsian
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"... 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
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This new O'Reilly book is the successor Edition of Data Algorithms (published by O'Reilly)
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This book uses PySpark (much simpler and readable)
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@OReillyMedia: Data Algorithms with Spark, By @mahmoudparsian
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Autor Contact: [
Email ] [
Mahmoud Parsian @LinkedIn ][
Mahmoud Parsian @GitHub ]
Email
Mahmoud Parsian @LinkedIn
Mahmoud Parsian @GitHubGithub Chapter Solutions
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This GitHub repository will host all source code and scripts for Data Algorithms with Spark
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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 |
Table of Contents
| Chapter | Title |
|---|---|
| Bonus Chapters |
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| 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 |
