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Hadoop in Practice

Af: Alex Holmes Engelsk Paperback

Hadoop in Practice

Af: Alex Holmes Engelsk Paperback
Tjek vores konkurrenters priser

　

For developers working with big data, it''s not enough to have a theoretical understanding of Hadoop. They need to solve real challenges like analyzing real-time streams, moving data securely between storage systems, and managing large-scale clusters. The Hadoop ecosystem is constantly growing, and it''s important they keep up with the new technologies and practices to stay productive and future-proof data systems.

 

Hadoop in Practice, Second Edition provides over 100 tested, instantly-useful techniques that will help conquer big data, using Hadoop. This revised new edition covers changes and new features in the Hadoop core architecture, including MapReduce 2. Brand new chapters cover YARN, real-time use cases, and integrating Kafka, Storm, and Spark with Hadoop. There’s also a new and updated techniques for Flume, Sqoop, and Mahout, all of which have seen major new versions recently. In short, this is the most practical, up-to-date coverage of Hadoop available anywhere.

　

RETAIL SELLING POINTS

Practical up-to-date coverage

Over 100 practical, battle-tested Hadoop techniques

Major updates to key technologies

 

AUDIENCE

Readers should be familiar with Hadoop and have experience programming in Java or another OOP language.

 

ABOUT THE TECHNOLOGY

Hadoop is an open source MapReduce platform designed to query and analyze data distributed across large clusters. Especially effective for big data systems, Hadoop powers mission-critical software at Apple, eBay, LinkedIn, Yahoo, and Facebook. It offers organizations efficient ways to store, manage, and analyze data.

 

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Tjek vores konkurrenters priser
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Tjek vores konkurrenters priser

　

For developers working with big data, it''s not enough to have a theoretical understanding of Hadoop. They need to solve real challenges like analyzing real-time streams, moving data securely between storage systems, and managing large-scale clusters. The Hadoop ecosystem is constantly growing, and it''s important they keep up with the new technologies and practices to stay productive and future-proof data systems.

 

Hadoop in Practice, Second Edition provides over 100 tested, instantly-useful techniques that will help conquer big data, using Hadoop. This revised new edition covers changes and new features in the Hadoop core architecture, including MapReduce 2. Brand new chapters cover YARN, real-time use cases, and integrating Kafka, Storm, and Spark with Hadoop. There’s also a new and updated techniques for Flume, Sqoop, and Mahout, all of which have seen major new versions recently. In short, this is the most practical, up-to-date coverage of Hadoop available anywhere.

　

RETAIL SELLING POINTS

Practical up-to-date coverage

Over 100 practical, battle-tested Hadoop techniques

Major updates to key technologies

 

AUDIENCE

Readers should be familiar with Hadoop and have experience programming in Java or another OOP language.

 

ABOUT THE TECHNOLOGY

Hadoop is an open source MapReduce platform designed to query and analyze data distributed across large clusters. Especially effective for big data systems, Hadoop powers mission-critical software at Apple, eBay, LinkedIn, Yahoo, and Facebook. It offers organizations efficient ways to store, manage, and analyze data.

 

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 511
ISBN-13: 9781617292224
Indbinding: Paperback
Udgave: 2
ISBN-10: 1617292222
Kategori: Datafangst og dataanalyse
Udg. Dato: 5 feb 2015
Længde: 31mm
Bredde: 190mm
Højde: 235mm
Forlag: Manning Publications
Oplagsdato: 5 feb 2015
Forfatter(e): Alex Holmes
Forfatter(e) Alex Holmes

Kategori Datafangst og dataanalyse

ISBN-13 9781617292224

Sprog Engelsk

Indbinding Paperback

Sider 511

Udgave 2

Længde 31mm

Bredde 190mm

Højde 235mm

Udg. Dato 5 feb 2015

Oplagsdato 5 feb 2015

Forlag Manning Publications

Kategori sammenhænge