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,...
Om Sharma
Senior Cloud Architect
Capital One
Om Sharma is a Lead Software Engineer and Solution Architect at Capital One. Om is focused on designing and architecting APIs, data streams, and event based stream processing solutions. Om has led the design of secure and resilient applications that will interact with core systems to innovate faster and unleash the next generation of financial products and real-time customer experiences. These mission critical applications will scale to provide lightning fast reactions to events, detect events in other systems that require a response, enable asynchronous functionality, and are based on event driven mesh architecture. Om holds a Masters in Computer Applications Design.