Advanced analytics with Spark (Book, 2017) [WorldCat.org]
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Advanced analytics with Spark

Author: Sandy Ryza; Uri Laserson; Sean Owen; Josh Wills
Publisher: Sebastopol, CA : O'Reilly, 2017
Edition/Format:   Print book : English : First editionView all editions and formats
Summary:
In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. You'll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common  Read more...
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Details

Document Type: Book
All Authors / Contributors: Sandy Ryza; Uri Laserson; Sean Owen; Josh Wills
ISBN: 9781491972953 1491972955 1491912766 9781491912768
OCLC Number: 1000050599
Notes: Includes index
Description: xii, 264 s. : ill. ; 23 cm.
Contents: Analyzing big data --
Introduction to data analysis with Scala and Spark --
Recommending music and the audioscrobbler data set --
Predicting forest cover with decision trees --
Anomaly detection in network traffic with K-means clustering --
Understanding Wikipedia with latent semantic analysis --
Analyzing co-occurrence networks with GraphX --
Geospatial and temporal data analysis on the New York City taxi trip data --
Estimating financial risk through Monte Carlo simulation --
Analyzing genomics data and the BDG project --
Analyzing neuroimaging data with PySpark and Thunder
Other Titles: Patterns for learning from data at scale
Responsibility: Sandy Ryza...[et.al.]

Abstract:

In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark,  Read more...

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