Advanced Analytics with Spark

Patterns for Learning from Data at Scale

576993bc6b44c.jpg Author Josh Wills, Sandy Ryza, Sean Owen, and Uri Laserson
Isbn 9781491912768
File size 5.1 MB
Year 2015
Pages 276
Language English
File format PDF
Category IT ebooks

Book Description:

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 techniques - classification, collaborative filtering, and anomaly detection among others - to fields such as genomics, security, and finance. If you have an entry-level understanding of machine learning and statistics, and you program in Java, Python, or Scala, you'll find these patterns useful for working on your own data applications.

 

 

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