Anomaly Detection on Streaming Data Using Azure Databricks

Learn how to build an end-to-end solution for detecting numerical anomalies in streaming data using Azure Anomaly Detector and Azure Databricks. This 26-minute video from Microsoft guides you through the process of creating a monitoring application that can identify anomalies in data coming through Azure Event Hubs. Explore the business problem, solution architecture, and prerequisites before diving into detailed code walkthroughs for sending tweets to Event Hubs, reading from Event Hubs, data aggregation, and implementing anomaly detection. Gain practical insights into designing effective monitoring application architectures and leverage Azure services to create a robust anomaly detection system for real-time data streams.

- The business problem of the demo solution..
- The architecture of the solution..
- Solution prerequisites and resource setup..
- Code walkthrough of sending tweets to Event Hubs..
- Code walkthrough of reading tweets from Event Hubs..
- Code walkthrough of data aggregation and storing to delta..
- Code walkthrough of anomaly detection with Anomaly Detector..