By Sandy Ryza,Uri Laserson,Sean Owen,Josh Wills
ISBN-10: 1491972955
ISBN-13: 9781491972953
In the second one variation of this useful booklet, 4 Cloudera info scientists current a suite of self-contained styles for acting large-scale facts research with Spark. The authors carry Spark, statistical tools, and real-world facts units jointly to coach you ways to strategy analytics difficulties by way of instance. up-to-date for Spark 2.1, this variation acts as an creation to those recommendations 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 practice universal techniques—including category, clustering, collaborative filtering, and anomaly detection—to fields akin to genomics, safety, and finance.
If you will have an entry-level knowing of desktop studying and statistics, and also you application in Java, Python, or Scala, you’ll locate the book’s styles worthy for engaged on your individual info applications.
With this ebook, you will:
- Familiarize your self with the Spark programming model
- Become cozy in the Spark ecosystem
- Learn basic techniques in information science
- Examine whole implementations that study huge public facts 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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Advanced Analytics with Spark: Patterns for Learning from Data at Scale by Sandy Ryza,Uri Laserson,Sean Owen,Josh Wills
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