Videos Archive - PrestoDB

Keynote Panel: Presto at Scale – Shradha Ambekar, Gurmeet Singh, Neerad Somanchi & Rupa Gangatirkar

Over the last decade Presto has become one of the most widely adopted open source SQL query engines. In use at companies large and small, Presto’s performance, reliability, and efficiency at scale have become critical to many companies’ data infrastructures. In this panel we’ll hear from three of the largest companies running Presto at scale – Meta, Uber, and Intuit. They’ll share more about their learnings, some of their impressive performance metrics with Presto, and what they envision going forward for Presto at their respective companies.

Exploring New Frontiers: How Apache Flink, Apache Hudi and Presto Power New Insights and Gold Nuggets at Scale

Danny Chan & Sagar Sumit, Onehouse – In this talk, attendees will walk away with: – The current challenges of analytics on transactional data systems with data streams at scale – How the Hudi unlocks incremental processing on the lake – How Presto allows ad-hoc queries that support data exploration on Flink data – How you can leverage Flink, Hudi and Presto to build incremental materialized views

Presto On Spark: Scaling not Failing with Spark – Ariel Weisberg, Meta & Shradha Ambekar, Intuit

Presto on Spark is an integration between Presto and Spark that leverages Presto’s compiler/evaluation as a library and Spark’s large scale processing capabilities. It enables a unified SQL experience between interactive and batch use cases. A unified option for batch data processing and ad hoc is very important for creating the experience of queries that scale instead of fail without requiring rewrites between different SQL dialects. In this session, we’ll talk about Presto On Spark architecture, why it matters and its implementation/usage at Intuit.