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Polish JUG meeting: Apache Flink® and Project Loom

polish-jug-meeting-apache-flink-and-project-loom-pazdziernik-2024
Event:
Polish JUG meeting: Apache Flink® and Project Loom
Event type:
Meetup
Category:
IT
Topic:
Date:
22.10.2024 (tuesday)
Time:
18:00
Language:
English
Price:
Free
City:
Place:
Clari
Address:
Długa 72
Description:

We invite you to the next Polish JUG meeting on TuesdayOctober 22, 2024, at 6:00 PM at Clari (72 Długa Street, Krakow).


This time, we have two speakers who will dive deep into the latest innovations in Java performance, stream processing, and concurrency:

Viktor GamovPrincipal Developer Advocate at Confluent, will present "Stream Processing As You've Never Seen Before: Apache Flink® for Java Developers." He'll cover how Apache Flink's DataStream and Table APIs can revolutionize real-time data processing.

Krystian ZybałaJava Performance Engineer, will discuss "Here Comes the Loom: Concurrency Will Never Be the Same Again". He'll explore Project Loom and its impact on Java concurrency, introducing concepts like virtual threads and structured concurrency.


This event is hosted by Clari, Krakow's newest engineering office, which offers cutting-edge revenue platform solutions.

Snacks, drinks, and prizes will be provided as always.


Don’t miss this opportunity to learn from industry experts and connect with fellow developers!


See you there!


Stream Processing As You’ve Never Seen Before (Seriously): Apache Flink® for Java Developers

You were tasked with building a real-time platform, but traditional tools couldn’t handle the massive data streams, leading to lagging performance and frustrated users. Deadlines were looming, and the team needed a breakthrough.

And then you learned about Apache Flink®!

We’ll explore how the DataStream API allowed efficient real-time data processing and how the Table API and SQL features simplified complex queries with familiar syntax. Testing became more straightforward, and managing the application state was no longer a headache.


You’ll learn:

• Harnessing the DataStream API: Process unbounded data streams efficiently to make your applications more responsive.

• Unlocking Table API and SQL: Use SQL queries within Flink to simplify data processing tasks without learning new languages.

• Effective Testing Strategies: Implement best practices for testing Flink applications to ensure your code is robust and reliable.

• Stateful Stream Processing: Manage application state effectively for complex event processing and real-time analytics.


By the end of this talk, you’ll be equipped to tackle real-time data challenges. Whether you are building analytics dashboards, event-driven systems, or handling data streams, Apache Flink can be the game-changer you’ve been searching for.


Here comes the Loom, the concurrency will never be the same again

At a time when Herb Sutter announced to everyone that the free lunch is over (The Free Lunch Is Over A Fundamental Turn Toward Concurrency in Software), concurrency has become our everyday life. A big change is coming to Java, the Loom project, and with it such new terms as "virtual thread", "continuations" and "structured concurrency". If you've been wondering what they will change in our daily work whether it's worth rewriting your Tomcat-based application to super-efficient reactive Netty, or whether to wait for Project Loom? This presentation is for you. I will talk about the Loom project and the new possibilities related to virtual wattles and "structured concurrency". I will tell you how it works what can be achieved and the impact on performance.

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