Leveraging Azure PaaS for Real-Time Social Media Analysis
summary
Claims a working serverless pipeline that pulls live social data with Azure Event Hubs, ingests via Azure Functions, and analyzes in Azure Databricks using SQL AI functions and a Genie agent to auto-generate queries and dashboards. Demo shows a published dashboard, local LLMs and agentic steps that complete successfully, a reported top agent with 1,032 closed tickets, and scalability to terabytes. Bing Web Search API is listed as a live data source and the free Databricks edition runs the labs.
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chapters (12)
- 0:00Real-time social media analytics intro
- 3:43Social media analysis challenges
- 5:10Data ingestion architecture
- 8:59Azure Event Hub overview
- 11:34Databricks free edition setup
- 13:04Databricks Genie AI analysis
- 17:18SQL AI functions in Databricks
- 20:06Agentic AI workflows in Databricks
- 24:44Genie dashboard insights
- 28:19Azure AI integration exam
- 29:03Summary next steps
- 29:45Q&A
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