About the event

Join us for an exclusive in-person event on "Real-time Streaming and Data Lakehouse," hosted by e6data in collaboration with The Big Data Show. This meetup is designed specifically for senior software engineers, data engineers, and data architects, who are constantly looking to optimise their data architecture to make it more price-performant while delivering the best user experience. In this edition, we will be deep-diving into the cutting-edge developments in real-time streaming architecture, focusing on Kafka, Redis, data caching mechanisms, and governance around them. Lakehouse Views is designed to enable fellow data nerds to meet and network and have insightful discussions on the entropic world of data.

Meet the speakers

Vivek Bansal, Senior Software Engineer at Uber

Topic: What makes Kafka & Redis so fast?

Insights into Kafka and Redis’s internal architecture, efficiency, and popularity in the industry as the de facto choice.

Time: 9:00 - 9:45 AM IST

Sudarsan Lakshmi Narasimhan and Faiz Kothari, Senior Engineering team, e6data

Topic: Data caching in Lakehouse query engines

How to use efficient caching mechanisms to reduce costs while ensuring hyper-performance and data freshness.

Time: 9:45 - 10:30 AM IST

Sagar Prajapati, Founder of Geekcoders

Topic: Unity catalog and Delta Lakehouse for data governance

Best practices to use Unity catalog with Delta lake tables for comprehensive data governance of your data assets.

Time: 10:45 - 11:30 AM IST

Vishnu Vasanth, Founder & CEO, e6data

Topic: Demystifying the analytics landscape

Insights into the evolving landscape and emerging use cases centered around data lakehouse architecuture, with emerging players in data catalogs, open table formats, query engines, and more.

Time: 11:45 - 12:30 PM IST

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