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Data Analytics with Hadoop: An Introduction for Data Scientists by [Benjamin Bengfort, Jenny Kim]

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Data Analytics with Hadoop: An Introduction for Data Scientists 1st Edition, Kindle Edition

4.2 out of 5 stars 25 ratings

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Product description

About the Author

Benjamin Bengfort is a data scientist with a passion for massive machine learning involving gigantic natural language corpora, and has been leveraging that passion to develop a keen understanding of recommendation algorithms at Cobrain in Bethesda, MD where he serves as the Chief Data Scientist. With a professional background in military and intelligence, and an academic background in economics and computer science, he brings a unique set of skills and insights to his work. Ben believes that data is a currency that can pave the way to discovering insights and solve complex problems. He is also currently pursuing a PhD in Computer Science at the University of Maryland. Jenny Kim is an experienced data scientist who works in both commercial software efforts as well as in academia. She has significant experience in working with large scale data, machine learning, and Hadoop implementations in production and research environments. Jenny (with Benjamin Bengfort) built a large scale recommender system that used a web crawler to gather ontological information about apparel products and produce recommendations from transactions. Currently she teaches Introduction to Hadoop and Advanced Hadoop courses on Statistics.com. --This text refers to the paperback edition.

Product details

  • ASIN ‏ : ‎ B01GGQKXO4
  • Publisher ‏ : ‎ O'Reilly Media; 1st edition (1 June 2016)
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 9218 KB
  • Simultaneous device usage ‏ : ‎ Unlimited
  • Text-to-Speech ‏ : ‎ Enabled
  • Screen Reader ‏ : ‎ Supported
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Print length ‏ : ‎ 290 pages
  • Customer Reviews:
    4.2 out of 5 stars 25 ratings

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4.2 out of 5 stars
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Top review from Australia

Reviewed in Australia on 19 January 2020
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Top reviews from other countries

Angel Jaime
5.0 out of 5 stars Its a good option but Its require more examples
Reviewed in Mexico on 15 June 2019
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Victor
1.0 out of 5 stars Misleading
Reviewed in the United States on 5 December 2019
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Patrick
2.0 out of 5 stars Did you check your work?
Reviewed in the United States on 15 November 2017
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7 people found this helpful
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HarmanSS
5.0 out of 5 stars Nice book to work with hadoop
Reviewed in the United States on 6 February 2019
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Dr V Gio Nguyen
5.0 out of 5 stars Five Stars
Reviewed in the United States on 8 August 2017
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