Hadoop in Practice / Libristo.pl
Hadoop in Practice

Code: 05160380

Hadoop in Practice

by Alex Holmes

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 l ... more

263.30


Low in stock at our supplier
Shipping in 10 - 14 days

Potřebujete více kusů?Máte-li zájem o více kusů, prověřte, prosím, nejprve dostupnost titulu na naši zákaznické podpoře.


Add to wishlist

You might also like

Give this book as a present today
  1. Order book and choose Gift Order.
  2. We will send you book gift voucher at once. You can give it out to anyone.
  3. Book will be send to donee, nothing more to care about.

Book gift voucher sampleRead more

More about Hadoop in Practice

You get 153 loyalty points

Book synopsis

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.

Book details

Book category Books in English Computing & information technology Databases Data capture & analysis

263.30

Trending among others


Books by language

250 000
safisfied customers

Since 2008, we have served long line of book lovers, but each of them was always on the first place.


Paczkomat 12,99 ZŁ 31975 punktów

Copyright! ©2008-24 libristo.pl All rights reservedPrivacyPoučení o cookies


Account: Log in
Wszystkie książki świata w jednym miejscu. I co więcej w super cenach.

Shopping cart ( Empty )

For free shipping
shop for 299 zł and more

You are here: