Название: Spark in Action
Автор: Marko Bonaci, Petar Zecevic
Издательство: Manning Publications
Год: 2016
Страниц: 472
Формат: PDF
Размер: 10 Mb
Язык: English
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.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
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.
True PDF/ePub (16.4 Mb):
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