By Sandy Ryza,Uri Laserson,Sean Owen,Josh Wills
In the second one variation of this functional e-book, 4 Cloudera facts scientists current a suite of self-contained styles for appearing large-scale information research with Spark. The authors carry Spark, statistical tools, and real-world facts units jointly to educate you ways to process analytics difficulties via instance. up-to-date for Spark 2.1, this version acts as an advent to those innovations and different most sensible practices in Spark programming.
You’ll commence with an creation to Spark and its environment, after which dive into styles that follow universal techniques—including category, clustering, collaborative filtering, and anomaly detection—to fields similar to genomics, safeguard, and finance.
If you could have an entry-level realizing of laptop studying and data, and also you software in Java, Python, or Scala, you’ll locate the book’s styles worthy for engaged on your personal info applications.
With this booklet, you will:
- Familiarize your self with the Spark programming model
- Become cozy in the Spark ecosystem
- Learn normal methods in facts science
- Examine whole implementations that learn huge public info sets
- Discover which computing device studying instruments make feel for specific problems
- Acquire code that may be tailored to many uses
Read Online or Download Advanced Analytics with Spark: Patterns for Learning from Data at Scale PDF
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