[FREE] Advanced Analytics with Spark: Patterns for Learning from Data at Scale
• Sandy Ryza, Uri Laserson, Sean Owen, Josh Wills • Download Now
| #43878 in Books | 2017-07-06 | Original language:English | 9.10 x.50 x7.00l, | File Name: 1491972955 | 280 pages
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About the Author |
|Sandy Ryza develops algorithms for public transit at Remix. Prior, he was a senior data scientist at Cloudera and Clover Health. He is an Apache Spark committer, Apache Hadoop PMC member, and founder of the Time Series for Spark project.
In the second edition of 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. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other best practices in Spark programming.
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