Turning the internet upside down: Driving big data right to the edge
summary
Argues the Internet flips from cloud-centric to device-first and shows a working stack: MapR Data Fabric spanning cloud, regional cores and tiny edge clusters, container support and microservices to run ML at the edge. Demonstrations include vibration sensors feeding a three-node edge cluster and a claim that a 3-node cluster handles 10M inserts/sec. Use cases deployed to factories, oil rigs, hospitals and ships, with models trained centrally and pushed back to act locally.
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chapters (5)
- 0:00Introduction
- 0:58How the Internet is turning upside down
- 3:39What has changed
- 4:45Data Fabric
- 5:58MapR Edge
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