Apache Cloudberry is an open-source Massively Parallel Processing (MPP) database designed for large-scale analytics. While MPP databases excel at distributing queries across multiple nodes, traditional single-segment query execution often leaves CPU cores underutilized. This talk explores how parallel query execution addresses this challenge by enabling multiple worker processes to collaborate on a single query within a segment.

In this session, we’ll dive deep into the architecture and implementation of parallel query execution solutions for Apache Cloudberry. This talk is ideal for database engineers, data platform architects, and anyone interested in query optimization and parallel processing. Attendees will gain practical knowledge and understand the engineering decisions behind building high-performance analytical databases.

Speakers:

Rose Duan: Apache Cloudberry Database Developer

Apache Cloudberry contributor, database kernel developer at HashData.