edge-seventeen     rang zi dan fei 2010     SCADA     1977     oz-tv-series     1.2.4     alien-romulus-ddp5     the hunting wives series     colony 2026     dk-how     big-to-rig     Rys     aryana     1977     drivein     breaking bad     spiderman      tulsa king     abbot elementary s05     lolita epub    

Sankar -- Fast Data Processing with Spark 2, 3rd ed -- 2016 pdf

seeders: 2
leechers: 1
Added 1 year ago by hardcover in Books  > Ebooks

Download Fast Safe Anonymous
movies, software, shows...

Files

Sankar -- Fast Data Processing with Spark 2, 3rd ed -- 2016 pdf (Size: 31.6 MB)
  Sankar -- Fast Data Processing with Spark 2, 3rd ed. -- 2016.pdf 31.6 MB

Description


Fast Data Processing with Spark
Authors: Holden Karau


Genres
Computer Science

Description:
Spark is a framework for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does but with a fast in-memory approach and a clean functional style API. With its ability to integrate with Hadoop and inbuilt tools for interactive query analysis (Shark), large-scale graph processing and analysis (Bagel), and real-time analysis (Spark Streaming), it can be interactively used to quickly process and query big data sets.

Fast Data Processing with Spark covers how to write distributed map reduce style programs with Spark. The book will guide you through every step required to write effective distributed programs from setting up your cluster and interactively exploring the API, to deploying your job to the cluster, and tuning it for your purposes.

Fast Data Processing with Spark covers everything from setting up your Spark cluster in a variety of situations (stand-alone, EC2, and so on), to how to use the interactive shell to write distributed code interactively. From there, we move on to cover how to write and deploy distributed jobs in Java, Scala, and Python.

We then examine how to use the interactive shell to quickly prototype distributed programs and explore the Spark API. We also look at how to use Hive with Spark to use a SQL-like query syntax with Shark, as well as manipulating resilient distributed datasets (RDDs).

Goodreads page:
https://www.goodreads.com/book/show/19666515-fast-data-processing-with-spark

Please note that this description is auto-generated by a bot, if you find the description incorrect then please report in the comments. Description will be edited accordingly afterwards.