Zikopoulos, Paul C. <br/><br/>
Harness the power of Big Data :  the IBM Big Data platform / 
Paul C. Zikopoulos ... [et al.]. 
 - xxx, 248 p. :  ill. ;  23 cm. 
<br/><br/>Part 1: The Big Deal about Big Data. 1. What is Big Data? --<br/>2. Applying Big Data to Business Problems: A Sampling of Use Cases --<br/>3. Boost Your Big Data IQ: The IBM Big Data Platform. Part II: Analytics for Big Data at Rest. 4. A Big Data Platform for High-Performance Deep Analytics: IBM Puredata Systems--<br/>5. IBM Enterprise Hadoop: Infosphere BigInsights. Part III: Analytics for Big Data In-Motion. 6. Real-Time Analytic Processing With Infosphere Streams. Part IV: Unlocking Big Data. 7. If Data Is The New Oil. Part V: Big Data Analytic Accelerators. 8. Differentiate Yourself With Text Analytics --<br/>9. The IBM Big Data Analytic Accelerators. Part VI: Integration and Governance in a Big Data World. 10. To Govern Or Not To Govern: Governance In A Big Data World --<br/>11. Integrating Big Data in the Enterprise. 
<br/><br/> "Learn all about IBM's enterprise-class end-to-end Big Data platform. Boost your Big Data IQ : details on in-motion and at-rest analytics, data asset discovery, integration, and governance. Get details surrounding the most common Big Data use cases that are transforming organizations today. Learn how to make down-stream Big Data projects faster to deploy ... and less risky. Gain confidence in your Big Data projects with an end-to-end tour of accelerators, tool sets, and samples to get you going ... FAST!"-- 
<br/><br/><label>ISBN: </label>9780071808170 (pbk.) 0071808175 (pbk.) 
<br/><br/><label>LCCN: </label>2013444424 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Electronic data processing--Distributed processing.<br/>File organization (Computer science)<br/>Data mining.
<br/><br/><label>LC Class. No.: </label>QA76.9.D5  / H37 2013 
<br/><br/><label>Dewey Class. No.: </label>006.312