[Mobile pdf] Advanced Analytics with Spark: Patterns for Learning from Data at Scale
·•●- Sandy Ryza, Uri Laserson, Sean Owen, Josh Wills ·•●-
| #308549 in Books | imusti | 2015-04-20 | Original language:English | PDF # 1 | 9.17 x.58 x7.01l,.0 | File Name: 1491912766 | 276 pages | O Reilly Media
||29 of 30 people found the following review helpful.| Great introduction to real world data science at scale|By Ram|This book fills an important gap in large scale data science. Spark has emerged as the big data platform of choice for data scientists both from the ease of use as well as the performance / optimization point of view. In a few lines of Scala code, Spark allows you to write iterative algorithms that scale out|About the Author|
|Sandy Ryza is a data scientist at Cloudera and active contributor to the Apache Spark project. He recently led Spark development at Cloudera and now spends his time helping customers with a variety of analytic use cases on Spark. He is al
In 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 how to approach analytics problems by example.
You’ll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques—classification, collaborative filtering, ...
[PDF.yj71] Advanced Analytics with Spark: Patterns for Learning from Data at Scale Rating: 3.71 (585 Votes)
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