How long does it take to read Understanding Big Data. Analytics for Enterprise Class Hadoop and Streaming Data?
Paul C. Zikopoulos, Chris Eaton, Dirk deRoos, Thomas Deutsch, George Lapis
Understanding Big Data. Analytics for Enterprise Class Hadoop and Streaming Data by Paul C. Zikopoulos, Chris Eaton, Dirk deRoos, Thomas Deutsch, George Lapis takes about 2 hours 35 minutes to read at 250 words a minute.
About 2 hours 35 minutes
An evening's read
First published 2012. 141 pages, about 38,775 words.
6 days at 30 minutes a day
Estimate based on 275 words per page.
At other speeds
| Slow, 150 words a minute | 4 hours 19 minutes |
| Average, 250 words a minute | 2 hours 35 minutes |
| Fast, 400 words a minute | 1 hour 37 minutes |
The page count is the median across 1 edition, so your copy may differ. How we calculate.
About the book
"Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data-volume, variety, and velocity-are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide."--p. 4 of cover
Subjects: Database management, Data warehousing, Apache Hadoop (Computer file), Electronic data processing, Distributed processing, File organization (Computer science)
