DataOps: Much More Than DevOps for Data
summary
Claims that apply DevOps lessons to data and that DataOps is about processes and mindset not database tinkering. Uses concrete examples: CPU metrics sampled every 5 minutes then summarize older data to hourly or daily averages, a World of Warcraft rollback that loses about 15–16 minutes of data, and GDPR as a hard compliance constraint. Argues for master data management, metadata tracking, lifecycle policies, measurable SLAs and automation, and notes SolarWinds branding on slides while avoiding tool demos.
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chapters (12)
- 0:00Introduction
- 1:11Data control and governance
- 3:24House of data foundations
- 5:51Data lifecycle and master data
- 8:48DevOps to DataOps
- 13:52DevOps evolution
- 17:08DataOps for data management
- 19:43Data quality challenges
- 22:30Adapting to business changes
- 24:40Data ownership challenges
- 26:48DataOps automation
- 28:38Cross-team collaboration
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