Mining big data: current status, and forecast to the future
ACM SIGKDD Explorations Newsletter
Building intelligence for software defined data centers: modeling usage patterns
Proceedings of the 6th International Systems and Storage Conference
A methodology for designing events and patterns in fast data processing
CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
Discovering denial constraints
Proceedings of the VLDB Endowment
Cloud Based Big Data Analytics for Smart Future Cities
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
Hi-index | 0.00 |
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. Learn how IBM hardens Hadoop for enterprise-class scalability and reliability Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform Learn tips and tricks for Big Data use cases and solutions Get a quick Hadoop primer