By Sandy Ryza,Uri Laserson,Sean Owen,Josh Wills
In the second one variation of this useful e-book, 4 Cloudera information scientists current a suite of self-contained styles for acting large-scale information research with Spark. The authors carry Spark, statistical tools, and real-world info units jointly to educate you ways to method analytics difficulties by way of instance. up-to-date for Spark 2.1, this version acts as an advent to those recommendations and different most sensible practices in Spark programming.
You’ll begin with an creation to Spark and its surroundings, after which dive into styles that follow universal techniques—including class, clustering, collaborative filtering, and anomaly detection—to fields corresponding to genomics, defense, and finance.
If you will have an entry-level realizing of desktop studying and records, and also you software in Java, Python, or Scala, you’ll locate the book’s styles beneficial for engaged on your individual info applications.
With this booklet, you will:
- Familiarize your self with the Spark programming model
- Become cozy in the Spark ecosystem
- Learn normal ways in info science
- Examine entire implementations that study huge public information 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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Extra resources for Advanced Analytics with Spark: Patterns for Learning from Data at Scale
Advanced Analytics with Spark: Patterns for Learning from Data at Scale by Sandy Ryza,Uri Laserson,Sean Owen,Josh Wills