This project builds a real-time data pipeline for ingesting, processing, and analyzing logs from a web or mobile app. It leverages Azure Event Hub for data ingestion and Apache Spark on Azure Databricks for processing and analysis. The system monitors application performance, detects anomalies, analyzes user behavior, and enhances security.
This project builds a real-time data pipeline for ingesting, processing, and analyzing logs from a web or mobile app. It leverages Azure Event Hub for data ingestion and Apache Spark on Azure Databricks for processing and analysis. The system monitors application performance, detects anomalies, analyzes user behavior, and enhances security.