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Data Analytics with Hadoop: An Introduction for Data Scientists by [Bengfort, Benjamin, Kim, Jenny]
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Data Analytics with Hadoop: An Introduction for Data Scientists 1st Edition, Kindle Edition


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Length: 290 pages Enhanced Typesetting: Enabled Page Flip: Enabled
Language: English

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Product description

Product Description

Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you’ll focus on particular analyses you can build, the data warehousing techniques that Hadoop provides, and higher order data workflows this framework can produce.

Data scientists and analysts will learn how to perform a wide range of techniques, from writing MapReduce and Spark applications with Python to using advanced modeling and data management with Spark MLlib, Hive, and HBase. You’ll also learn about the analytical processes and data systems available to build and empower data products that can handle—and actually require—huge amounts of data.

  • Understand core concepts behind Hadoop and cluster computing
  • Use design patterns and parallel analytical algorithms to create distributed data analysis jobs
  • Learn about data management, mining, and warehousing in a distributed context using Apache Hive and HBase
  • Use Sqoop and Apache Flume to ingest data from relational databases
  • Program complex Hadoop and Spark applications with Apache Pig and Spark DataFrames
  • Perform machine learning techniques such as classification, clustering, and collaborative filtering with Spark’s MLlib

About the Author

Benjamin Bengfort is a Data Scientist who lives inside the beltway but ignores politics (the normal business of DC) favoring technology instead. He is currently working to finish his PhD at the University of Maryland where he studies machine learning and distributed computing. His lab does have robots (though this field of study is not one he favors) and, much to his chagrin, they seem to constantly arm said robots with knives and tools; presumably to pursue culinary accolades. Having seen a robot attempt to slice a tomato, Benjamin prefers his own adventures in the kitchen where he specializes in fusion French and Guyanese cuisine as well as BBQ of all types. A professional programmer by trade, a Data Scientist by vocation, Benjamin's writing pursues a diverse range of subjects from Natural Language Processing, to Data Science with Python to analytics with Hadoop and Spark.

Jenny Kim is an experienced big data engineer 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) previously 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 is working with the Hue team at Cloudera, to help build intuitive interfaces for analyzing big data with Hadoop.


Product details

  • Format: Kindle Edition
  • File Size: 10277 KB
  • Print Length: 290 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: O'Reilly Media; 1 edition (1 June 2016)
  • Sold by: Amazon Australia Services, Inc.
  • Language: English
  • ASIN: B01GGQKXO4
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Enabled
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #420,107 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Amazon.com: 4.0 out of 5 stars 5 reviews
Patrick
2.0 out of 5 starsDid you check your work?
16 November 2017 - Published on Amazon.com
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7 people found this helpful
HarmanSS
5.0 out of 5 starsNice book to work with hadoop
6 February 2019 - Published on Amazon.com
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Dr V Gio Nguyen
5.0 out of 5 starsFive Stars
9 August 2017 - Published on Amazon.com
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Kartik
4.0 out of 5 starsFour Stars
14 February 2018 - Published on Amazon.com
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Konstantinos Xirogiannopoulos
5.0 out of 5 starsScalable analytics using the Hadoop ecosystem!
10 July 2016 - Published on Amazon.com
13 people found this helpful