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Advanced Analytics with Spark: Patterns for Learning from Data at Scale Paperback – 20 Apr 2015

4.5 out of 5 stars 2 customer reviews

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Product details

  • Paperback: 276 pages
  • Publisher: O'Reilly Media; 1 edition (20 April 2015)
  • Language: English
  • ISBN-10: 1491912766
  • ISBN-13: 978-1491912768
  • Product Dimensions: 17.8 x 1.5 x 23.3 cm
  • Average Customer Review: 4.5 out of 5 stars 2 customer reviews
  • Amazon Bestsellers Rank: 448,181 in Books (See Top 100 in Books)
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Product description

About the Author

Sandy Ryza is a data scientist at Cloudera and active contributor to the Apache Spark project. He recently led Spark development at Cloudera and now spends his time helping customers with a variety of analytic use cases on Spark. He is also a member of the Hadoop Project Management Committee.

Uri Laserson is a data scientist at Cloudera, where he focuses on Python in the Hadoop ecosystem. He also helps customers deploy Hadoop on a wide range of problems, focusing on life sciences and health care. Previously, Uri cofounded Good Start Genetics, a next generationdiagnostics company while working towards a PhD in biomedical engineering at MIT.

Sean Owen is Director of Data Science for EMEA at Cloudera. He has been a significant contributor to the Apache Mahout machine learning project since 2009, and authored its “Taste” recommender framework. He created the Oryx (formerly Myrrix) project for realtime large scale learning on Hadoop, built on lambda architecture principles, and has contributed to Spark and Spark’s MLlib project.

Josh Wills is Cloudera's Senior Director of Data Science, working with customers and engineers to develop Hadoop based solutions across a wide range of industries. He is the founder and VP of the Apache Crunch project for creating optimized MapReduce and Spark pipelines in Java.Prior to joining Cloudera, Josh worked at Google, where he worked on the ad auction system and then led the development of the analytics infrastructure used in Google+.



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17 June 2016
Format: Kindle Edition|Verified Purchase
29 May 2015
Format: Paperback
4 people found this helpful
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Most helpful customer reviews on Amazon.com

Amazon.com: 4.5 out of 5 stars 22 reviews
Ram
5.0 out of 5 starsGreat introduction to real world data science at scale
24 April 2015 - Published on Amazon.com
Format: Paperback|Verified Purchase
29 people found this helpful.
Adam Lieskovsky
5.0 out of 5 starsIf you are looking for a intro to data science, data analysis and machine learning at scale - this is the right book
2 August 2015 - Published on Amazon.com
Format: Paperback|Verified Purchase
13 people found this helpful.
origin415
4.0 out of 5 starsThis book is a good overview of potential uses of Spark
12 March 2016 - Published on Amazon.com
Format: Paperback|Verified Purchase
3 people found this helpful.
Brian Castelli
4.0 out of 5 starsAdvanced and Scala heavy
16 June 2015 - Published on Amazon.com
Format: Kindle Edition|Verified Purchase
25 people found this helpful.
Daniel C Deng
5.0 out of 5 starsFive Stars
28 January 2017 - Published on Amazon.com
Format: Paperback|Verified Purchase
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