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https://issues.apache.org/jira/browse/SPARK-7209?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Aleksandar Dragosavljevic updated SPARK-7209:
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    Attachment: Spark in Action.jpg

Book cover

> Adding new Manning book "Spark in Action" to the official Spark Webpage
> -----------------------------------------------------------------------
>
>                 Key: SPARK-7209
>                 URL: https://issues.apache.org/jira/browse/SPARK-7209
>             Project: Spark
>          Issue Type: Task
>          Components: Documentation
>            Reporter: Aleksandar Dragosavljevic
>            Priority: Minor
>         Attachments: Spark in Action.jpg
>
>   Original Estimate: 1h
>  Remaining Estimate: 1h
>
> Manning Publications is developing a book Spark in Action written by Marko 
> Bonaci and Petar Zecevic (http://www.manning.com/bonaci) and it would be 
> great if the book could be added to the list of books at the official Spark 
> Webpage (https://spark.apache.org/documentation.html).
> This book teaches readers to use Spark for stream and batch data processing. 
> It starts with an introduction to the Spark architecture and ecosystem 
> followed by a taste of Spark's command line interface. Readers then discover 
> the most fundamental concepts and abstractions of Spark, particularly 
> Resilient Distributed Datasets (RDDs) and the basic data transformations that 
> RDDs provide. The first part of the book also introduces you to writing Spark 
> applications using the the core APIs. Next, you learn about different Spark 
> components: how to work with structured data using Spark SQL, how to process 
> near-real time data with Spark Streaming, how to apply machine learning 
> algorithms with Spark MLlib, how to apply graph algorithms on graph-shaped 
> data using Spark GraphX, and a clear introduction to Spark clustering.
> The book is already available to the public as a part of our Manning Early 
> Access Program (MEAP) where we deliver chapters to the public as soon as they 
> are written. We believe it will offer significant support to the Spark users 
> and the community.  



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