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Join in with the latest Amsterdam JUG Meetup with the GIGABITES Community at Just Eat Takeaway.com (JET), at Piet Heinkade 61, 1019 GM, Amsterdam.

Note: Our theme for this meetup is Apache Flink. We have two great talks with excellent speakers and we have a third slot, a bit shorter, for anyone who wants to fill it. Do you have experiences with Apache Flink you'd like to share? Write to amsterdamjug@googlegroups.com and you'll get a short slot of 30 minutes, or less, depending on how many sign up!

Agenda

18:00 - Doors Open (And Food!), thanks JET!
18:30 - 19:15 Talk 1: The JET Journey with Apache Flink - Behrooz Mirzaie (Tech Lead at JET)
19:15 - 19:30 Short Break
19:30 - 20:15 Talk 2: From Tables to Streams: Apache Flink for SQL Developers - Viktor Gamov (Principal Developer Advocate at Confluent)
20:15 - 20:30 Short Break
20:30 - 21:00 Placeholder For Your Talk! (See Below)
21:00 The Ened

Abstracts

Talk 1: The JET Journey with Apache Flink - Behrooz Mirzaie

Our journey with Apache Flink at JET begins with the recognition that while Flink is powerful and that our primary job is to make that power approachable for everyone.

This realization led us to consider "What If? Abstracting complexities" as part of our diagnosis.

In this sesion, we will discuss how, ultimately, the core lesson we've learned is to hide the complexity, though not the capability, of the underlying system!

Talk 2: From Tables to Streams: Apache Flink for SQL Developers - Viktor Gamov (Confluent)

What if your SQL queries could process data as it happens instead of after it's stored? Apache Flink speaks SQL fluently, but it's not a database – think of it as a conductor orchestrating endless streams of data rather than a librarian managing stored records.

This session bridges the gap between traditional SQL and stream processing.

We'll explore:

  • The Mental Model Shift – From "query the database" to "continuously process the stream" using intuitive analogies
  • Flink SQL in Action: How familiar operations like SELECT, JOIN, and GROUP BY work on infinite data streams, plus temporal joins, time windows, and watermarks
  • Table API: Programmatic control with declarative simplicity, bridging SQL and complete programming flexibility
  • Flink AI: Real-time feature engineering and model inference on streaming data using SQL-like patterns
  • Real-World Patterns: Fraud detection during transactions, live analytics dashboards, and event-driven architectures

You'll leave understanding not just how to use Flink SQL, but when and why it transforms traditional database skills into real-time data superpowers.

Perfect for: SQL developers and data engineers ready to make their queries travel through time.

Talk 3: Placeholder For Your Talk!

Our theme for this meetup is, clearly, Apache Flink. We have two great talks with excellent speakers and here we have a third slot, a bit shorter, for anyone who wants to fill it.

Do you have experiences with Apache Flink you'd like to share? Write to amsterdamjug@googlegroups.com and you'll get a short slot of 30 minutes, or less, depending on how many sign up!

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