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.

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 Java, 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

• We started tracking this book on December 31, 2018.
• This book was $24.99 when we started tracking it.
• The price of this book has changed 243 times in the past 2,470 days.
• The current price of this book is $40.91 last checked one day ago.
• This lowest price this book has been offered at in the past six months is $33.75.
• This lowest price this book has been offered at in the past year is $27.03.
• The lowest price to date was $22.32 last reached on September 22, 2019.
• This book has been $22.32 one time since we started tracking it.
• The highest price to date was $50.99 last reached on June 4, 2025.
• This book has been $50.99 14 times since we started tracking it.

• Computers & TechnologyNetworking & CommunicationsSystem AdministrationDistributed Systems & Computing
• Computers & TechnologyComputer ScienceData Modeling & Design
• Computers & TechnologyProgrammingAlgorithms

• Publication Date: June 12, 2017
• Text-to-Speech: Disabled
• Lending: Disabled
• Print Length: 282 Pages
• File Size: 41 KB