Time-Series Data in MongoDB
summary
The talk explains how to model high-volume, time-ordered time-series data in MongoDB, using MongoDB Management Service (MMS) as a concrete example. It covers schema-design considerations for time-series workloads, how different schema approaches affect MMS features and performance, and the resulting differences in read/write load patterns.
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chapters (9)
- 0:00Introduction
- 3:01What are time series
- 7:15Time series problems
- 12:26Classic vs optimized
- 18:10Pre-aggregation and nested structures
- 21:06MongoDB demo
- 26:16Performance and structure benefits
- 27:40MongoDB MMS case study
- 31:32Q&A
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