Advanced Analytics with Spark: Patterns for Learning from Data at Scale

Amazon.com Price: $49.99 (as of 05/05/2019 14:12 PST- Details)

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Description

In the second one 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, statistical methods, and real-world data sets together to teach you the best way to approach analytics problems by example. Up to date for Spark 2.1, this edition acts as an introduction to these techniques and other best practices in Spark programming.

You’ll start with an introduction to Spark and its ecosystem, after which dive into patterns that apply common techniques—including classification, clustering, collaborative filtering, and anomaly detection—to fields such as genomics, security, and finance.

If you’ve got an entry-level working out of machine learning and statistics, and you program in Java, Python, or Scala, you’ll find the book’s patterns useful for working by yourself data applications.

With this book, you’ll:

  • Familiarize yourself with the Spark programming model
  • Become comfortable inside the Spark ecosystem
  • Learn general approaches in data science
  • Examine complete implementations that analyze large public data sets
  • Discover which machine learning tools make sense for particular problems
  • Acquire code that may be adapted to many uses

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