Application of Streaming Data with Azure Data Factory in Vehicle Service Application

Abstract

Cloud based data integration and cost optimizing has made great potential in real-time application such as traffic management. Predicting road traffic and suggesting instantly to select the less congested path would help the users in various traffic jam situations. A system is proposed using Azure Data Factory and Apache Kafka. Apache Kafka a favoured event streaming stage is utilized to gather, operate and accumulate pouring events data. It is capable of scaling to manage billions of streamed occurrences per minute. An attempt has been made that helps to find cost effective means in vehicle service application.