Leveraging Azure PaaS for Real-time Social Media Analysis
summary
Claims an end to end real time social media sentiment pipeline built on Azure PaaS using Azure Databricks, Event Hub, Stream Analytics, Azure Language Service, PowerBI. Demo actually implements producer and consumer notebooks, writes to Delta storage and labels sentiment, but live X/Twitter calls hit a free tier 100‑call limit so demo uses 10,000 dummy tweets pushed to Event Hub. Shows metrics and microbatch behavior, proves ingestion and sentiment scoring work with simulated load and visualizes results in PowerBI.
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chapters (15)
- 0:00Real-time social media analysis
- 2:14Azure PaaS data pipelines
- 5:29Azure Databricks setup
- 8:00X API access setup
- 12:15Event Hub streaming
- 15:23Event Hub network settings
- 17:58Dummy tweet data push
- 21:11Event Hub to Stream Analytics
- 22:34Databricks compute choice
- 27:22Real-time tweet ingestion
- 30:01AI sentiment analysis
- 31:51Sentiment analysis run
- 34:21Power BI visualizations
- 35:23End-to-end Azure pipeline
- 36:08Q&A
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