Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up Using Pyspark

by Mahmoud Parsian

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...

• Format: Paperback
• Language: English
• ISBN: 1492082384
• ISBN13: 9781492082385
• Release Date: May 2022
• Publisher: O'Reilly Media
• Length: 435 Pages
• Weight: 1.55 lbs.
• Dimensions: 0.9" x 7.0" x 9.2"