We’re excited to return on 25 September with another evening of deep database dives! This time, we’re hosted at the Salesforce Office in Munich, where there are talks from Salesforce and AWS on cutting-edge database technologies and query optimization strategies.
Exploring Database Technologies in Salesforce Data Cloud
Previously in the Munich Database Meetup, the Hyper team shared the story of its incredible transition from an academic project and spin-off to an enterprise-grade database engine powering both Tableau and Salesforce. In this talk, we dig deeper into some of the key technologies that drove our success in Salesforce Data Cloud, an open data platform supporting Data Lake formats, AI agents, and a variety of zero-copy data integrations. We will explore the technical aspects of the core database features and SQL extensions that we have been building over the years to support such a rich data ecosystem and share some battle stories from the developer’s perspective.
Data Lake Query Optimization in Redshift
Amazon Redshift Spectrum allows users to query data in S3 without loading it into Redshift. This talk discusses query optimization techniques specifically designed for Spectrum queries, addressing unique challenges such as the lack of table and column statistics in external data sources. We present statistic-agnostic optimization techniques that improve performance without relying on traditional statistics and explore how integrating available statistics can further enhance query execution. Finally, we cover advanced optimization strategies that leverage both approaches to maximize Spectrum query performance across diverse data lake scenarios
This event will provide deep technical insights into enterprise-grade database engines, data cloud architectures, and query optimization for large-scale data lakes. Whether you’re working on database internals, cloud platforms, or distributed systems, expect an evening of knowledge sharing and practical implementation lessons
See you there! 🚀