Presto on Kafka at Scale – Yang Yang & Yupeng Fu, Uber

Presto on Kafka at Scale – Yang Yang & Yupeng Fu, Uber

Presto is a popular distributed SQL query engine for running interactive analytic queries. Presto provides a Connector API that allows plugins to dozens of data sources, and thus positions itself as a single point of access to a wide variety of data. At Uber, we significantly improved Presto’s Kafka connector to meet Uber’s scale. For example, the new connector allows dynamic Kafka cluster and topic discovery so users can directly query existing Kafka topics without any registration and onboarding process; dynamic schema discovery allows fetching the latest schema without any Presto restart or deployment; smart time range suggestions to users based on Kafka metadata analysis to avoid large-range scans and thus keep the query interactive.

Introducing Materialized View in Presto – Rohit Jain, Meta

Introducing Materialized View in Presto – Rohit Jain, Meta

The materialized view is a well-known technique in the data world, it is used to increase the performance and efficiency of queries by precomputing and persisting results. We are announcing materialized view support in the PrestoDB in this talk. Please join us to learn more about it.