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Data Algorithms with Spark Recipes and Design Patterns for Scaling Up using PySpark - Mahmoud Parsian 2022 PDF O’Reilly Media BOOKS PROGRAMMING
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Data Algorithms with Spark Recipes and Design Patterns for Scaling Up using PySpark
Author: Mahmoud Parsian
Year: 2022
Number of pages: 438
Format: PDF
File size: 12,5 MB
Language: ENG

Apache Spark's speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark.In each chapter, author Mahmoud Parsian shows you how to solve a data problem with a set of Spark transformations and algorithms. You'll learn how to tackle problems involving ETL, design patterns, machine learning algorithms, data partitioning, and genomics analysis. Each detailed recipe includes PySpark algorithms using the PySpark driver and shell script.

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