click to
look inside
Look inside
listen to a preview now
FREE
You can see this entire book for free.
Click the table of contents to start reading.
ASK me anything...
we'll search our titles
to answer your question

Spark in Action

Petar Zečević and Marko Bonaći
  • November 2016
  • ISBN 9781617292606
  • 472 pages
  • printed in black & white
filed under

placing your order...

Don't refresh or navigate away from the page.

Dig in and get your hands dirty with one of the hottest data processing engines today. A great guide.

Jonathan Sharley, Pandora Media
Look inside

Spark in Action teaches you the theory and skills you need to effectively handle batch and streaming data using Spark. Fully updated for Spark 2.0.

about the technology

Big data systems distribute datasets across clusters of machines, making it a challenge to efficiently query, stream, and interpret them. Spark can help. It is a processing system designed specifically for distributed data. It provides easy-to-use interfaces, along with the performance you need for production-quality analytics and machine learning. Spark 2 also adds improved programming APIs, better performance, and countless other upgrades.

about the book

Spark in Action teaches you the theory and skills you need to effectively handle batch and streaming data using Spark. You'll get comfortable with the Spark CLI as you work through a few introductory examples. Then, you'll start programming Spark using its core APIs. Along the way, you'll work with structured data using Spark SQL, process near-real-time streaming data, apply machine learning algorithms, and munge graph data using Spark GraphX. For a zero-effort startup, you can download the preconfigured virtual machine ready for you to try the book's code.

what's inside

  • Updated for Spark 2.0
  • Real-life case studies
  • Spark DevOps with Docker
  • Examples in Scala, and online in Java and Python

about the reader

Written for experienced programmers with some background in big data or machine learning.

about the author

Petar Zečević and Marko Bonaći are seasoned developers heavily involved in the Spark community.

FREE domestic shipping on orders of three or more print books

Must-have! Speed up your learning of Spark as a distributed computing framework.

Robert Ormandi, Yahoo!

An easy-to-follow, step-by-step guide.

Gaurav Bhardwaj, 3Pillar Global

An ambitiously comprehensive overview of Spark and its diverse ecosystem.

Jonathan Miller, Optensity
RECENTLY VIEWED