In this blog post, I would like to discuss achieving end-to-end correlation across Logic Apps, a need to have a solution while dealing with an Enterprise application involving multiple Logic Apps. Let us understand the concept with the help of a real-time scenario.

This blog will explain the Azure Data Explorer, its core concepts, and a few of its significant features. As the data generated by enterprises is growing day by day, data strategists are looking for more effective techniques to handle a massive volume of diverse data. With all these requirements, there emerges a need for a service that can collect, store, and analyze data with optimal performance. Let us see how Azure Data Explorer addresses these requirements.

Consider an E-Commerce Application with millions of users, built with various microservices. Since these microservices are decoupled, highly scalable, the communication and data sharing should be more reliable and seamless for business continuity. Here comes the Enterprise Service Bus technology. An enterprise service bus implements a communication system between mutually interacting software applications in a service-oriented architecture (SOA).