Designing Resilient Event-Driven Data Mesh Architecture

Most enterprises deal with large scale data. There are common challenges involved in managing data. One such challenge faced by distributed applications is effective processing, identifying transactional boundaries, and exchange of data across disparate systems, where governance, modeling, ownership, and consumption considerations are tenets. An event-driven data mesh provides capabilities to power both operational & analytical use cases, in both real time & batch. It provides the framework necessary for creating, communicating, and using data. In request-response architecture, clients need to send requests and then wait for response before executing next business processes. As applications grow in complexity, this tightly coupled architecture can cause issues. Event driven data mesh is a loosely coupled architecture that enables increased scalability and fault tolerance by decoupling components. The audience will gain understanding of what a data mesh is and its four important pillars. They will learn about techniques that will help communicate important business data across the entire organization effectively, and at-scale. Lastly, they will learn about critical components involved in Event driven architecture and evaluate what data can be optimized with events and what to be excluded.