Integrating Hadoop
ISBN-13:
9781634621526
ISBN-10:
1634621522
Edition:
First Edition
Author:
William McKnight, Jake Dolezal
Publication date:
2016
Publisher:
Technics Publications
Format:
Paperback
124 pages
FREE US shipping
on ALL non-marketplace orders
Marketplace
from $22.08
USD
Marketplace offers
Seller
Condition
Note
Seller
Condition
New
Brand New! Not overstocks! Brand New direct from the publisher! Ships in sturdy cardboard packaging.
Book details
ISBN-13:
9781634621526
ISBN-10:
1634621522
Edition:
First Edition
Author:
William McKnight, Jake Dolezal
Publication date:
2016
Publisher:
Technics Publications
Format:
Paperback
124 pages
Summary
Integrating Hadoop (ISBN-13: 9781634621526 and ISBN-10: 1634621522), written by authors
William McKnight, Jake Dolezal, was published by Technics Publications in 2016.
With an overall rating of 3.5 stars, it's a notable title among other
Data Mining
(Databases & Big Data, Data Warehousing, Graphics & Design, Cloud Computing, Networking & Cloud Computing) books. You can easily purchase or rent Integrating Hadoop (Paperback) from BooksRun,
along with many other new and used
Data Mining
books
and textbooks.
And, if you're looking to sell your copy, our current buyback offer is $0.3.
Description
Integrating Hadoop leverages the discipline of data integration and applies it to the Hadoop open-source software framework for storing data on clusters of commodity hardware. It is packed with the need-to-know for managers, architects, designers, and developers responsible for populating Hadoop in the enterprise, allowing you to harness big data and do it in such a way that the solution:
- Complies with (and even extends) enterprise standards
- Integrates seamlessly with the existing information infrastructure
- Fills a critical role within enterprise architecture.
- Supporting an enterprise information strategy
- Organizing for a successful Hadoop rollout
- Loading and extracting of data in Hadoop
- Managing Hadoop data once it's in the cluster
- Utilizing Spark, streaming data, and master data in Hadoop processes - examples are provided to reinforce concepts.
We would LOVE it if you could help us and other readers by reviewing the book
Book review
Congratulations! We have received your book review.
{user}
{createdAt}
by {truncated_author}