Easy Data Processing With Azure Fun
summary
Uses Python on Azure Functions to build a concrete, working pipeline: a cron timer-trigger + blob-trigger pipeline calls the Stack Exchange API (demo shows it collecting 30 new questions), writes a CSV to Azure Blob Storage, then a second function reads that CSV, computes tag counts and unanswered questions, renders a Matplotlib plot and stores it back to Blob, and sends an HTML digest via SendGrid email + plot stored in Blob so the whole end-to-end flow runs and is deployable.
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chapters (23)
- 0:00Introduction
- 0:30Resources
- 0:56Serverless Computing
- 1:23Management Maintenance
- 1:52Cloud Provider
- 2:12Serverless
- 3:24Azure Functions
- 4:18Best Practices
- 5:06Service
- 5:41Characteristics
- 8:13Use Cases
- 10:06Requirements
- 11:33Reconnect
- 12:11Assurance
- 15:39cron expression descriptor
- 22:54share portal
- 25:41stock exchange
- 32:03binding
- 44:11processing file
- 46:01Bindings
- 47:51Create Send Grade
- 49:11Create API Key
- 54:41Timer Function
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