Understanding Big Data. Analytics for Enterprise Class Hadoop and Streaming Data
Paul C Zikopoulos, Chris Eaton, Dirk deRoos, Thomas Deutsch · 2012
Where to buy
Amazon’s price changes daily, so the most accurate place to see it is there, at the moment you buy.
View on AmazonThis is an affiliate link: if you buy through it, the site earns a small commission at no extra cost to you, which helps us bring quality content and maintain the site. As an Amazon Associate we earn from qualifying purchases.
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
Book details
- Year
- 2012
- Language
- English
- Publisher
- McGraw-Hill
- Editions
- 1
- Pages
- 141
- ISBN
- 9780071790536
Data source: Wikidata
