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Spark in Action Petar Zecevic

Spark in Action By Petar Zecevic

Spark in Action by Petar Zecevic


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Spark in Action Summary

Spark in Action by Petar Zecevic

Working with big data can be complex and challenging, in part because of the multiple analysis frameworks and tools required. Apache Spark is a big data processing framework perfect for analyzing near-real-time streams and discovering historical patterns in batched data sets. But Spark goes much further than other frameworks. By including machine learning and graph processing capabilities, it makes many specialized data processing platforms obsolete. Spark's unified framework and programming model significantly lowers the initial infrastructure investment, and Spark's core abstractions are intuitive for most Scala, Java, and Python developers. Spark in Action 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 covers writing Spark applications using the the core APIs. Readers also learn 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 an introduction to Spark clustering. Key Features: * Clear introduction to Spark * Teaches how to ingest near real-time data * Gaining value from big data * Includes real-life case studies AUDIENCE Readers should be familiar with Java, Scala, or Python. No knowledge of Spark or streaming operations is assumed, but some acquaintance with machine learning is helpful. ABOUT THE TECHNOLOGY Apache Spark is a big data processing framework perfect for analyzing near-real-time streams and discovering historical patterns in batched data sets. Spark also offers machine learning and graph processing capabilities.

About Petar Zecevic

Petar Zecevic is a CTO at SV Group. During the last 14 years he has worked on various projects as a Java developer, team leader, consultant and software specialist. He is the founder and, with Marko, organizer of popular Spark@Zg meetup group. Marko Bonaci has worked with Java for 13 years.He works Sematext as a Spark developer and consultant. Before that, he was team lead for SV Group's IBM Enterprise Content Management team.

Additional information

GOR013034011
9781617292606
1617292605
Spark in Action by Petar Zecevic
Used - Like New
Paperback
Manning Publications
20161124
468
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
The book has been read, but looks new. The book cover has no visible wear, and the dust jacket is included if applicable. No missing or damaged pages, no tears, possible very minimal creasing, no underlining or highlighting of text, and no writing in the margins

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