Technical Talks


Everything Everywhere All at Once: Object Store Native
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- Workshops
The data landscape is changing beyond recognition. Driving this change is the simultaneous advance across three distinct areas. Advances in object storage enabled us to move from tightly coupled systems to separating storage and compute. Building robust data applications was now an exciting possibility, but required us to bring order (and ACID) to chaotic data lakes which led to the emergence of table formats like Iceberg and Delta Lake. This led to the reimagining of several application areas that were once served on closed, tightly coupled, vendor controlled systems onto a new set of open, composable foundations built on object storage. The culmination of this shift, (and delivering on the true promise of "Everything Everywhere All at Once” on object storage) requires fundamental innovations in compute engine architecture exemplified by platforms like E6data. As a result, complex high concurrency SQL, real-time operational analytics, AI, vector search, log observability, security analytics, and more will all soon be first class citizens on object storage.

Co-Founder & CEO
Vishnu Vasanth
e6data
Vishnu Vasanth is the Founder and CEO of e6data (backed by Accel), a lakehouse compute engine for high concurrency and complex SQL analytics and AI workloads, delivering 10x faster performance at a third of the cost. A technologist, investor, and founder with over 20 years of experience, he is building e6data to drive universal adoption of data, analytics, and AI through radically superior processing efficiency and compute intelligence.

Head of Engineering
Sudarshan Lakshminarasimhan
e6data
Sudarshan Lakshminarasimhan is the Head of Engineering at e6data, where he drives the performance team to continually boost e6data’s engine capabilities. Previously at ThoughtWorks, he spent two decades engineering and managing large-scale data projects for enterprise clients. Deeply passionate about database internals and performance, he led e6data to the 10x faster lakehouse compute engine it is today.
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