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Practical data science with Hadoop and Spark : designing and building effective analytics at scale / Ofer Mendelevitch, Casey Stella, Douglas Eadline.

By: Contributor(s): Series: Addison Wesley Data & Analytics seriesCopyright date: Boston : Addison-Wesley, c2017Description: xix, 230 pages ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780134024141
  • 0134024141
Other title:
  • Designing and building effective analytics at scale
Subject(s): DDC classification:
  • 005.74 .M537 2017
LOC classification:
  • QA76.9.D5 M465 2017
Contents:
I. Data science with Hadoop : an overview. Introduction to data science ; Use cases for data science ; Hadoop and data science -- II. Preparing and visualizing data with Hadoop. Getting data into Hadoop ; Data munging with Hadoop ; Exploring and visualizing data -- III. Applying data modeling with Hadoop. Machine learning with Hadoop ; Predictive modeling ; Clustering ; Anomaly detection with Hadoop ; Natural language processing ; Data science with Hadoop : the next frontier.
Summary: "he Complete Guide to Data Science with Hadoop—For Technical Professionals, Businesspeople, and Students Demand is soaring for professionals who can solve real data science problems with Hadoop and Spark. Practical Data Science with Hadoop® and Spark is your complete guide to doing just that. Drawing on immense experience with Hadoop and big data, three leading experts bring together everything you need: high-level concepts, deep-dive techniques, real-world use cases, practical applications, and hands-on tutorials. This guide provides a strong technical foundation for those who want to do practical data science, and also presents business-driven guidance on how to apply Hadoop and Spark to optimize ROI of data science initiatives." --Publisher's description
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Holdings
Item type Current library Call number Status Date due Barcode
Print Materials Main Library General Circulation 005.74 .M537 2017 (Browse shelf(Opens below)) Available 0122441

Includes index.

I. Data science with Hadoop : an overview. Introduction to data science ; Use cases for data science ; Hadoop and data science -- II. Preparing and visualizing data with Hadoop. Getting data into Hadoop ; Data munging with Hadoop ; Exploring and visualizing data -- III. Applying data modeling with Hadoop. Machine learning with Hadoop ; Predictive modeling ; Clustering ; Anomaly detection with Hadoop ; Natural language processing ; Data science with Hadoop : the next frontier.

"he Complete Guide to Data Science with Hadoop—For Technical Professionals, Businesspeople, and Students



Demand is soaring for professionals who can solve real data science problems with Hadoop and Spark. Practical Data Science with Hadoop® and Spark is your complete guide to doing just that. Drawing on immense experience with Hadoop and big data, three leading experts bring together everything you need: high-level concepts, deep-dive techniques, real-world use cases, practical applications, and hands-on tutorials.

This guide provides a strong technical foundation for those who want to do practical data science, and also presents business-driven guidance on how to apply Hadoop and Spark to optimize ROI of data science initiatives." --Publisher's description

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