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 appearing large-scale info research with Spark. The authors convey Spark, statistical equipment, and real-world information units jointly to educate you ways to method analytics difficulties by means of instance. up-to-date for Spark 2.1, this variation acts as an advent to those strategies and different top practices in Spark programming.
You’ll begin with an creation to Spark and its atmosphere, after which dive into styles that follow universal techniques—including category, clustering, collaborative filtering, and anomaly detection—to fields comparable to genomics, safety, and finance.
If you've gotten an entry-level figuring out of laptop studying and data, and also you application in Java, Python, or Scala, you’ll locate the book’s styles helpful for engaged on your individual facts applications.
With this booklet, you will:
- Familiarize your self with the Spark programming model
- Become cozy in the Spark ecosystem
- Learn basic ways in facts science
- Examine whole implementations that study huge public information sets
- Discover which computing device studying instruments make experience 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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Additional 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