High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark 1st Edition

3.7 out of 5 stars 27 ratings
ISBN-13: 978-1491943205
ISBN-10: 9781491943205
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Frequently bought together

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From the Publisher

Learning Spark: Lightning-Fast Big Data Analysis Advanced Analytics with Spark: Patterns for Learning from Data at Scale Learning Spark Streaming High Performance Spark: Best practices for scaling and optimizing Apache Spark
Learning Spark Advanced Analytics with Spark 2nd Ed. Learning Spark Streaming High Performance Spark
Subtitle Lightning-Fast Big Data Analysis Patterns for Learning from Data at Scale Best Practices for Scaling and Optimixing Apache Spark Best practices for scaling and optimizing Apache Spark

Editorial Reviews

Book Description

Best practices for scaling and optimizing Apache Spark

About the Author

Holden Karau is transgender Canadian, and an active open source contributor. When not in San Francisco working as a software development engineer at IBM's Spark Technology Center, Holden talks internationally on Apache Spark and holds office hours at coffee shops at home and abroad. She is a Spark committer with frequent contributions, specializing in PySpark and Machine Learning. Prior to IBM she worked on a variety of distributed, search, and classification problems at Alpine, Databricks, Google, Foursquare, and Amazon. She graduated from the University of Waterloo with a Bachelor of Mathematics in Computer Science. Outside of software she enjoys playing with fire, welding, scooters, poutine, and dancing.

Rachel Warren is a data scientist and software engineer at Alpine Data Labs, where she uses Spark to address real world data processing challenges. She has experience working as an analyst both in industry and academia. She graduated with a degree in Computer Science from Wesleyan University in Connecticut.


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3.7 out of 5 stars
3.7 out of 5
27 customer ratings
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Reviewed in the United States on December 22, 2018
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Reviewed in the United States on September 7, 2017
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Reviewed in the United States on November 17, 2017
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Reviewed in the United States on December 3, 2017
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Reviewed in the United States on November 26, 2017
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Reviewed in the United States on July 28, 2017
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Top international reviews

Nicholas Drake
2.0 out of 5 stars Mainly focused on RDDs, limited relevance to Spark SQL API.
Reviewed in the United Kingdom on September 11, 2018
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Daniel
4.0 out of 5 stars Detailed, thorough, packed with useful tips!
Reviewed in the United Kingdom on February 26, 2018
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Mr. Matthew Tyler
3.0 out of 5 stars Disappointed
Reviewed in the United Kingdom on June 17, 2018
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Gourav Sengupta
5.0 out of 5 stars simplicity and beautiful diagrams and presentation
Reviewed in the United Kingdom on April 24, 2018
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5.0 out of 5 stars Five Stars
Reviewed in the United Kingdom on August 15, 2017
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Sudeep
1.0 out of 5 stars Fake black and white copy received
Reviewed in India on December 4, 2018
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Amiya Sankar Moharana
3.0 out of 5 stars Its a good book but the pages come out every now
Reviewed in India on October 17, 2017
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Pentergark
5.0 out of 5 stars Buen libro para leer y tener de consulta
Reviewed in Spain on December 20, 2017
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shivank
1.0 out of 5 stars Not easy to read..
Reviewed in India on October 27, 2017
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Babacar
4.0 out of 5 stars The book is well written, but cover a too small part of streaming
Reviewed in France on February 14, 2019
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