Data Science in Production Has Never Been So Easy
summary
Claims that Posit Connect removes the deployment friction between local R/Python development and production by replacing manual cron-like work with scheduling and monitoring that runs every fifteen minutes and alerts on failures. Describes a GitLab-backed workflow that auto-deploys via a required manifest.json, uses Posit Connect API to build an automation status report, hosts Quarto and Shiny storefronts, connects two-way to Snowflake (Snowpark Python UDFs) to score millions of records per day, and uses Posit Package Manager for automated internal package builds.
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chapters (13)
- 0:00Data science in healthcare
- 1:07Manual to automated workflows
- 3:16Switching from Windows Task Scheduler
- 4:02Posit Connect benefits
- 6:12Scheduling and sharing reports
- 7:16Donor readiness prediction
- 8:22Git model deployment
- 9:49Connecting to live database
- 11:40Database compute for jobs
- 12:00Reducing boilerplate
- 13:26Centralizing data deployment
- 14:33Local to production insights
- 15:16Q&A on Posit Connect
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