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High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark Paperback – 2 June 2017

4.0 out of 5 stars 44 ratings
Edition: 1st

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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

Product description

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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Product details

  • ASIN ‏ : ‎ 1491943203
  • Publisher ‏ : ‎ O'Reilly Media, Inc, USA; 1st edition (2 June 2017)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 358 pages
  • ISBN-10 ‏ : ‎ 9781491943205
  • ISBN-13 ‏ : ‎ 978-1491943205
  • Dimensions ‏ : ‎ 17.78 x 1.88 x 23.34 cm
  • Customer Reviews:
    4.0 out of 5 stars 44 ratings

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Nicholas Drake
2.0 out of 5 stars Mainly focused on RDDs, limited relevance to Spark SQL API.
Reviewed in the United Kingdom on 12 September 2018
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Daniel
4.0 out of 5 stars Detailed, thorough, packed with useful tips!
Reviewed in the United Kingdom on 27 February 2018
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Mr. Matthew Tyler
3.0 out of 5 stars Disappointed
Reviewed in the United Kingdom on 18 June 2018
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GS
5.0 out of 5 stars simplicity and beautiful diagrams and presentation
Reviewed in the United Kingdom on 24 April 2018
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5.0 out of 5 stars Five Stars
Reviewed in the United Kingdom on 16 August 2017
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