Advanced Analytics with Spark

By Sandy Ryza, Uri Laserson, Sean Owen , Josh Wills

Book cover of Advanced Analytics with Spark: Patterns for Learning from Data at Scale

Book description

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…

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Why read it?

1 author picked Advanced Analytics with Spark as one of their favorite books. Why do they recommend it?

Tomasz Lelek Author Of Advanced Analytics with Spark: Patterns for Learning from Data at Scale
Tomasz Lelek
Author

Apache Spark has a very high point of entry for newcomers to the Big Data ecosystem.

However, it is a key tool that almost everyone is using for running distributed processing. I recommend everyone to read this book before delving into production solutions based on Apache Spark.

This book will allow you to alleviate many spark problems, such as serialization, memory utilization, and parallelization of processing.

From Tomasz's list on big data processing ecosystem.

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