Data Science and Smart Systems: Creating the Digital Brain
summary
Claim: build a live “digital brain” that ingests sensor streams from drilling rigs and grids, finds patterns and flags blowout or outage risk, then triggers actuators or dispatches crews. Implementation uses a Pivotal Data Lake on HDFS, in-place analytics with madb parallel libraries, and frequency-domain feature extraction (FFT-like) to spot periodicity. On the smart-grid example the pipeline transforms ~100,000M over 10 weeks in under five minutes and detects faults before customers complain.
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chapters (4)
- 0:00Start
- 4:06Let's Build a Digital Brain
- 7:14Data Lake Architecture
- 7:56The Digital Brain: Making a Smart Grid Smarter!
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