Just so you know, we need to start at 6:30 this time as we have to leave the location at 9 pm! Make sure to be there in time and to bring a valid ID card due to Amazon's location restriction guidelines!
We are thrilled to announce our next Meetup on June 3rd at Vakamo and AWS.
Format:
- 2 talks (each ca. 40 min incl. discussion)
- Time for networking + food + drinks before, in between and after the presentations
- Talks are held in English
- We will be taking photos and/or film footage at the event. These will be used to share news about our meetups and to publicize upcoming events.
The lineup:
First talk:
Christian Thiel - Apache Iceberg and the Future of Secure, Interoperable Data Lakehouses like Lakekeeper
Abstract:
Apache Iceberg has emerged as the de-facto standard for open Data Analytics systems, empowering organizations to freely choose their preferred query engines and ML frameworks while working with shared data. Historically, the "pick your tool" promise of data Lakehouses has been compromised by security fragmentation across vendors. In this session we go over the layered security of Apache Iceberg and demonstrate how security-focused Iceberg REST Catalogs like Lakekeeper can leverage open standards to enable genuinely secure cross-engine and cross-cloud interoperability. Learn how modern data architectures built purely on open-source tools and standards can finally deliver both flexibility and comprehensive governance.
Bio:
Christian is the creator of Lakekeeper, an Apache Licensed, security-focused Iceberg REST Catalog. He’s a big believer in open standards, which he sees as the backbone of today’s modern, composable Data & Analytics systems. Christian is all about crafting innovative solutions that make collaborating on data a breeze.
Second talk:
Georg Kreuzmayr - The Future is Fast, Open, and Deployable Anywhere: When Fire(bolt) meets Ice(berg)
Abstract:
Analytics and AI-driven applications demand both scalable and low-latency data access. However, data infrastructure capable of meeting these requirements often suffers from prohibitive costs or complexity. Moreover, industry best practice dictates that companies should avoid vendor lock-in by adopting open table formats like Apache Iceberg and Delta Lake. Firebolt aims to address this challenge with Firebolt Core: a free, self-hosted version of our data warehouse, distributed as a lightweight Docker image. Deployable anywhere – from a single laptop to enterprise data centers – it is forever free to use. In this talk we take a look under the hood of Firebolt Core and dive into the challenges we had to solve to bring a free-to-use production-grade data warehouse to the market. Furthermore, you will learn about our efforts to support high-performance, low-latency analytics on the lakehouse architecture.
Bio:
Georg is a Software Engineer at Firebolt. As part of the Query Processing team, he works on bringing Firebolt's low-latency capabilities to the open lakehouse architecture. Georg studied computer science at the Technical University of Munich, where he got inspired to pursue a career in databases by exciting university courses and research projects.
