Building an Analytics System for a High‑Load Media Platform
summary
Describes building an in-house analytics system for a high-traffic media/social site (Sports.ru) after it became a social network with 12M monthly uniques. Covers collecting and unifying large volumes of event data, computing and visualizing media- and social-specific metrics, and using those metrics for site personalization when standard web analytics tools proved insufficient.
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chapters (15)
- 0:00Introduction
- 1:15Existing analytics problems
- 2:44Choosing Redshift
- 4:51Redshift architecture
- 7:41Data sources
- 10:36Processing pipeline
- 12:26Aggregation strategies
- 14:12Visualization
- 16:22Fake accounts detection
- 18:11Storage costs
- 19:18Team dashboards
- 23:12Data compliance
- 24:18Personalization use cases
- 26:00Cost and scalability
- 27:26Q&A
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