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Time Series Databases

github:tdunning
links:none on file
slides:none on file

The book Time Series Databases lays out how to collect and store high-volume sensor data, recommends NoSQL store patterns, and shows concrete designs and ingestion pipelines using OpenTSDB. It claims MapR-style extensions reach over a hundred million data points per second ingestion and notes comparable designs on HBase will work but at lower throughput. Focus is on efficient schema, write paths, and operational tuning rather than analysis.

AI-written summary · about

  1. 0:00Introduction
  2. 0:58Why Time Series Databases
  3. 3:05Anomaly Detection
  4. 4:50Recommendations
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