Articles liés à Spark in Action: 2017

Spark in Action: 2017 ISBN 13 : 9789351199489

Spark in Action: 2017 - Couverture souple

 
9789351199489: Spark in Action: 2017

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Synopsis

SPARK IN ACTION BY Peter Zecevic, Marko Bonaci, 9789351199489

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

Petar Zečević 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 Bonaći 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.

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Autres éditions populaires du même titre

9781617292606: Spark in Action

Edition présentée

ISBN 10 :  1617292605 ISBN 13 :  9781617292606
Editeur : Manning, 2016
Couverture souple