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Get ready for the next edition of the Copenhagen Data Engineering Meetup!
On the 18th of February, we are gathering at Unity’s Copenhagen headquarters for an evening dedicated to fine-tuning our engines and navigating the future of open data ecosystems. Whether you’re looking to squeeze every ounce of performance out of your Spark jobs or trying to make sense of the rapidly evolving catalog landscape, this is an event you won't want to miss.

### The Lineup

We have two deep-dive sessions featuring experts from the front lines of data platform engineering:
Spark Tuning & Best Practices: From Theory to Production-Ready Performance Asaf Sneh (Unity) Moving from a Spark job that "just works" to one that is production-hardened and cost-efficient is no small feat. Asaf will take us through the journey of Spark optimization, bridging the gap between theoretical best practices and the realities of running high-performance workloads at scale within Unity.
Graduating Class of 2026? The Current State of Apache Polaris (incubating) William Martin (Dremio) As the industry moves toward open table formats, the question of "who manages the metadata" has never been more relevant. William will give us an insider look at Apache Polaris. With it being 2026, we’ll explore its progress through the Apache incubator, its role in the Iceberg ecosystem, and whether it’s ready to become the "valedictorian" of your data architecture.
And, of course, a Data Engineering meetup wouldn't be complete without the chance to talk shop over a good meal. Dinner and drinks will be provided by our generous sponsors, Unity and Dremio.

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### 📍 Location & Venue

The event is hosted by Unity at their offices in Copenhagen. Stay tuned for specific entry instructions closer to the date.

### Agenda

  • 18:00: People Arriving + Networking
  • 18:15: Introduction
  • 18:20: Spark Tuning & Best Practices (Asaf Sneh, Unity)
  • 19:00: Dinner & Drinks
  • 19:30: The Current State of Apache Polaris (William Martin, Dremio)
  • 20:10: Networking & Wrap-up

We look forward to seeing the community come together for another night of great technical discussions!

Related topics

Events in København K, DK
Machine Learning
Stream Processing
Python

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