Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Overview & Synopsis
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.
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Document Information
| Document Title | Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data |
|---|---|
| Author / Organization | Paul Zikopoulos, Chris Eaton, Dirk DeRoos, Tom Deutsch, George Lapis |
| Subject & Discipline | Big Data, Data Science, Data Analysis and Data Mining, Algorithms and Data Structures, Statistics, R Language and SAS Programming, Probability, Stochastic Process, Queueing Theory, etc. |
| Categories | Big Data |
| ISBN | 0071790535 |
| Resource Verification | ✓ Verified Direct PDF Available |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Reported File Size | 4602.5 KB (4,712,924 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-261569 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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