Time Series Data With Apache Cassandra
summary
Covers challenges and requirements for storing and analyzing very large time series datasets and explains how Apache Cassandra’s key-sorted storage, high throughput, and linear scalability address those needs. Describes data and query modeling patterns for time series in Cassandra and introduces Newts, an open-source Cassandra-based time series store developed by The OpenNMS Group.
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chapters (16)
- 0:00Start
- 1:28OpenNMS: What It Is
- 2:48Time series: RRDTool
- 4:06and oh yeah, graphing
- 5:06Consider
- 9:48What OpenNMS needs
- 10:24Cassandra
- 11:21Writes
- 13:53Partitioning
- 14:38Placement
- 14:48Replication
- 15:22CAP Theorem
- 17:04Consistency
- 18:20Distribution Properties
- 19:21Data Model
- 23:03Newts
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