Build a Big Data Interaction Platform
Expanding the vision of “Democratization” of the data further, team EY has built a custom big data interaction platform which is a Self-serviced web application that is powered by Dremio. Unlike the traditional approach of multi-layered data dependent processes, which are susceptible to data size limits and slow process and dependencies on technical resources, this big data interaction platform allows user to solve client challenge immediately with sub-second processing times for both technical and non-technical users.This self-service big data application is a combination of modern data architecture and a leading-edge technology stack (like Dremio, Spark and Elasticsearch) to deliver unparalleled abilities for non-technical users to read, transform and visualize data in near real-time.
Dilip Balan has served as an engineering consultant in the financial services industry for over 15 years. He has experience designing, prototyping and deploying big data web applications.