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High Performance Spark - 2nd Edition by Holden Karau & Adi Polak & Rachel Warren (Paperback)

High Performance Spark - 2nd Edition by  Holden Karau & Adi Polak & Rachel Warren (Paperback) - 1 of 1
$65.99 when purchased online
Target Online store #3991

About this item

Highlights

  • Apache Spark is amazing when everything clicks.
  • Author(s): Holden Karau & Adi Polak & Rachel Warren
  • 350 Pages
  • Computers + Internet, Databases

Description



Book Synopsis



Apache Spark is amazing when everything clicks. But if you haven't seen the performance improvements you expected or still don't feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau, Rachel Warren, and Anya Bida walk you through the secrets of the Spark code base, and demonstrate performance optimizations that will help your data pipelines run faster, scale to larger datasets, and avoid costly antipatterns.

Ideal for data engineers, software engineers, data scientists, and system administrators, the second edition of High Performance Spark presents new use cases, code examples, and best practices for Spark 3.x and beyond. This book gives you a fresh perspective on this continually evolving framework and shows you how to work around bumps on your Spark and PySpark journey.

With this book, you'll learn how to:

  • Accelerate your ML workflows with integrations including PyTorch
  • Handle key skew and take advantage of Spark's new dynamic partitioning
  • Make your code reliable with scalable testing and validation techniques
  • Make Spark high performance
  • Deploy Spark on Kubernetes and similar environments
  • Take advantage of GPU acceleration with RAPIDS and resource profiles
  • Get your Spark jobs to run faster
  • Use Spark to productionize exploratory data science projects
  • Handle even larger datasets with Spark
  • Gain faster insights by reducing pipeline running times
Dimensions (Overall): 9.19 Inches (H) x 7.0 Inches (W)
Suggested Age: 22 Years and Up
Number of Pages: 350
Genre: Computers + Internet
Sub-Genre: Databases
Publisher: O'Reilly Media
Theme: Data Mining
Format: Paperback
Author: Holden Karau & Adi Polak & Rachel Warren
Language: English
Street Date: March 3, 2026
TCIN: 1005531618
UPC: 9781098145859
Item Number (DPCI): 247-05-2632
Origin: Made in the USA or Imported

Shipping details

Estimated ship dimensions: 1 inches length x 7 inches width x 9.19 inches height
Estimated ship weight: 1 pounds
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