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The Online Mart App is a microservices-based application designed to provide a seamless online shopping experience. The app is composed of several independent services that handle different aspects of the shopping process
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 is a grocery store data generator for emulating batch and real-time POS transactions and sending them to either Azure Event Hubs or Apache Kafka (test with Azure HDInsight Kafka)