Tick Tock: What the heck is time-series data?
summary
Explains building a streaming ingestion and enrichment pipeline that stores raw JSON from 180 plants into per-plant tables, then normalizes nested objects into metric tables and runs real-time analytics with CrateDB Cloud on Azure. Claims include running an average over 1.2 billion records in 4.2s and sub-second queries (0.2s) for downtime searches across the same data on a 5-node cluster (≈15GB RAM/node), supporting 2.5M queries/day, 50% fewer manual adjustments and six-figure annual savings.
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chapters (9)
- 0:00Start
- 0:34Demographics
- 4:07Use Cases of Time Series
- 4:44Industrial Sensor Data
- 5:43What Cray Db Is
- 12:16Salient Features
- 15:57Admin Ui
- 19:28Dynamic Object Typing
- 20:15Metric Table
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