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Time-series data

Track 3 of 5 · Analytics at scale · 6 of 8
  1. 1. OLTP and OLAP (in preparation)
  2. 2. The star schema (in preparation)
  3. 3. Column stores (in preparation)
  4. 4. From MapReduce to the lakehouse (in preparation)
  5. 5. Streams and change data capture (in preparation)
  6. 6. Time-series data (in preparation)
  7. 7. Counting with sketches (in preparation)
  8. 8. Distributed databases (in preparation)
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In preparationLecture III.6

The question it answers

How are millions of metrics and events a second stored, and still queried fast?

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Track 3 of 5 · Analytics at scale · 6 of 8
  1. 1. OLTP and OLAP (in preparation)
  2. 2. The star schema (in preparation)
  3. 3. Column stores (in preparation)
  4. 4. From MapReduce to the lakehouse (in preparation)
  5. 5. Streams and change data capture (in preparation)
  6. 6. Time-series data (in preparation)
  7. 7. Counting with sketches (in preparation)
  8. 8. Distributed databases (in preparation)
← PreviousNext →

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