Quick Stats – Runtime ANALYZE for Better Query Plans with Presto

At PrestoCon Day, Anant Aneja of Ahana, an IBM Company introduced a new feature for Presto called Quick Stats which aims to enhance query optimization by providing up-to-date statistics for the query optimizer. This enables more accurate cost-based decisions and better selectivity for non-trivial queries. In this blog post we’ll recap the details and benefits…

What is Presto on Spark?

1. Reporting and dashboarding This includes serving custom reporting for both internal and external developers for business insights and also many organizations using Presto for interactive A/B testing analytics. A defining characteristic of this use case is a requirement for low latency. It requires tens to hundreds of milliseconds at very high QPS, and not…

Scaling with Presto on Spark

Overview Presto was originally designed to run interactive queries against data warehouses, but now it has evolved into a unified SQL engine on top of open data lake analytics for both interactive and batch workloads. Popular workloads on data lakes include: 1. Reporting and dashboarding This includes serving custom reporting for both internal and external…