Uploaded April 2026 | Updated September 2026, 3 weeks ago
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Hello JDK 25, where streams got sassier and strings got safer.
This talk will show how Stream Gatherers let you batch, slide, and group data like a boss, without collector headaches.
Plus, String Templates make your SQL, JSON, and logs clean and injection-safe; that means no more + soup or format() rage.
Expect live code, cool tricks, a fresh look at Java’s evolving vibe, and of course memes.
Please subscribe to our YouTube channel @ youtube.com/@DevoxxForever
Subscribe to LinkedIn @ linkedin.com/company/voxxed-days-amsterdam
Follow us on Twitter @ twitter.com/voxxedamsterdam
Hello JDK 25, where streams got sassier and strings got safer.
This talk will show how Stream Gatherers let you batch, slide, and group data like a boss, without collector headaches.
Plus, String Templates make your SQL, JSON, and logs clean and injection-safe; that means no more + soup or format() rage.
Expect live code, cool tricks, a fresh look at Java’s evolving vibe, and of course memes.
![[VDBUH2026] Victor Botan - Scaling the Future: Lakehouse Architecture and OpenSource Collaboration](https://i.ytimg.com/vi/lW6VqE3HMvQ/mqdefault.jpg "[VDBUH2026] Victor Botan - Scaling the Future: Lakehouse Architecture and OpenSource Collaboration
Modern data platforms demand scalability, flexibility, and interoperability—capabilities that traditional architectures often fail to deliver. The lakehouse paradigm bridges this gap by combining the strengths of data lakes and data warehouses into a unified, performant system.
This talk explores how open source technologies like Apache Spark, Delta Lake, and Apache Iceberg enable scalable lakehouse architectures. It also highlights the strategic value of contributing back to these ecosystems—driving innovation, improving reliability, and shaping the future of data engineering. Attendees will leave with practical insights on building resilient data platforms and leveraging open source as a force multiplier.")
