In-Hadoop Analytics and IBM's Watson
summary
Defines "in-Hadoop analytics" as running analytics where petabytes of data live rather than moving it, and describes an IBM Big Data platform built around a data lake or landing zone that holds text audio video and warehouse extracts. Actual components named: Hadoop/MapReduce storage, data ingestion tools, a text analytics engine to extract structure, SQL and machine‑learning engines, and visualization. Watson sits atop these foundations to pursue a cognitive Q&A Paradigm and predictive disease use cases.
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chapters (4)
- 0:00Start
- 1:43The Ibm Emerging Platform in the Data Space
- 3:48Text Analytics Engine
- 9:35If There Was One Problem in the World that You Could Solve by Applying Data to It
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