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Frank Kane's Taming Big Data with Apache Spark and Python by [Frank Kane]

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Frank Kane's Taming Big Data with Apache Spark and Python 1st Edition, Kindle Edition

3.9 out of 5 stars 40 ratings

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Editorial Reviews

About the Author

My name is Frank Kane. I spent nine years at Amazon and IMDb, wrangling millions of customer ratings and customer transactions to produce things such as personalized recommendations for movies and products and "people who bought this also bought." I tell you, I wish we had Apache Spark back then, when I spent years trying to solve these problems there. I hold 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, I left to start my own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.

--This text refers to the paperback edition.

Product details

  • ASIN ‏ : ‎ B071VVFDMP
  • Publisher ‏ : ‎ Packt Publishing; 1st edition (June 30, 2017)
  • Publication date ‏ : ‎ June 30, 2017
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 12863 KB
  • Text-to-Speech ‏ : ‎ Enabled
  • Screen Reader ‏ : ‎ Supported
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Sticky notes ‏ : ‎ On Kindle Scribe
  • Print length ‏ : ‎ 298 pages
  • Page numbers source ISBN ‏ : ‎ 1787287947
  • Customer Reviews:
    3.9 out of 5 stars 40 ratings

About the author

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Full content visible, double tap to read brief content.

Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology. In 2016, he created Sundog Education, which offers popular online courses in the fields of data science, machine learning, data streaming, and "big data". Over 150,000 students worldwide have enrolled in Frank's courses.

Customer reviews

3.9 out of 5 stars
3.9 out of 5
40 global ratings

Top reviews from the United States

Reviewed in the United States ๐Ÿ‡บ๐Ÿ‡ธ on February 8, 2020
One person found this helpful
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Reviewed in the United States ๐Ÿ‡บ๐Ÿ‡ธ on May 13, 2019
One person found this helpful
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Reviewed in the United States ๐Ÿ‡บ๐Ÿ‡ธ on March 11, 2021
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1.0 out of 5 stars This book is 90% filler
By James Keenan on March 10, 2021
Pros - Does walk through examples thoroughly and slowly.

Cons - So. Much. Filler. I'm talking repeating entire paragraphs, long running sentences reminding the reader of the topic that was just defined, poorly inserted diagrams to maximize space. Why do this? Just so it can be said that the book is X pages long?

I'm attaching an example page from the book, where the reader is about the learn how to count the words in a book and the author has pasted the cover of said book, and called it a day for that page. So. Blatant.
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Reviewed in the United States ๐Ÿ‡บ๐Ÿ‡ธ on August 6, 2019
Reviewed in the United States ๐Ÿ‡บ๐Ÿ‡ธ on March 31, 2019
Reviewed in the United States ๐Ÿ‡บ๐Ÿ‡ธ on December 13, 2018
Reviewed in the United States ๐Ÿ‡บ๐Ÿ‡ธ on August 1, 2019
2 people found this helpful
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Reviewed in the United States ๐Ÿ‡บ๐Ÿ‡ธ on June 12, 2019

Top reviews from other countries

Sambit Parida
3.0 out of 5 stars Few mistakes
Reviewed in India ๐Ÿ‡ฎ๐Ÿ‡ณ on January 29, 2021
Geevarghese samuel
5.0 out of 5 stars A totally awesome whirlwind ride of Spark
Reviewed in India ๐Ÿ‡ฎ๐Ÿ‡ณ on September 1, 2018
One person found this helpful
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N Sharma
5.0 out of 5 stars User friendly and well written
Reviewed in Germany ๐Ÿ‡ฉ๐Ÿ‡ช on December 21, 2020
Pradeep kumar
2.0 out of 5 stars No as good as expected
Reviewed in India ๐Ÿ‡ฎ๐Ÿ‡ณ on August 27, 2019
Balaji Santhana Krishnan
5.0 out of 5 stars Good book to start with.
Reviewed in India ๐Ÿ‡ฎ๐Ÿ‡ณ on September 7, 2019
One person found this helpful
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