Advanced Analytics with Spark - Sandy Ryza, Uri Laserson, Sean Owen, and Josh Wills
Supplemental material (code examples, exercises, et.) is available for download at https://github.com/sryza/aas
This book has some decent examples but it gets complex quickly. It uses the Spark/Scala framework with some examples from genomics using a Phyton based framework -- pySpark and Thunder for visualization.
Here's a summary from the back page.
Advanced Analytics with Spark
In the second edition of this practical book, four data scientists present a set of self-contained patterns for performing large-scale data analysis with Apache Spark. The suthors 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 serves as an introduction to these techniques and other best practices in Spark programming.
You'll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques - including classification, clustering, collaborative filtering, and anomaly detection - to fields such as genomics, security, and finance.
If you have an entry-level understanding of machine learning and statistics and you program in Python or Scala, you'll find the book's patterns useful for working on your own data applications.
With this book, you will:
- Familiarize yourself with the Spark programming model
- Become comfortable within the Spark ecosystem
- Learn general approaches in data science
- Examine complete implementations that analyze large public data sets
- Discover which machine learning tools make sense for particular problems
- Acquire code that can be adapted to many uses
Authors
- Sandy Ryza develops algorithms for public transit at Remix. He is a Spark committer and Hadoop PMC member.
- Uri Laserson is an Associate professor of Genetics at the Icahn School of Medicine at Mount Sinai.
- Sean Owen is director of Data Science at Cloudera, and a Spark committer and PMC member.
- Josh Wills is the Head of Data Engineering at Slack, and the founder of the Apache Crunch project.