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. Fully updated for Spark 2.0.
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.
Created for experienced programmers with some background in big data or machine learning. Petar Zecevic and Marko Bonaci are seasoned developers heavily involved in the Spark community.
PLEASE When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
The author’s sense of humor and weird analogues makes this a bit of a burden to read. Real life datasets and examples are nice though. Probably worth looking into if you are fetting started with spark with a regular developer background.
The book is pretty well written, with even a drop of (unexpected) humor. This, with the good addition of well done illustrations makes this book an honorable "in action" series member. However, I quit with a feeling of frustration, because examples are rather fragments, written trhough the CLI. I have no idea what a full fledged "hello world" would looks like ! And this is only fragments because the subject was indeed very large. I think the authoe would have better leave the advanced subjects for another book. Because this one is really compact ! Ma note de lecture en Français ici