What we’re about
New to Apache Kafka®? Start with these free resources: https://cnfl.io/learn-ak-mu
This is an open community - if you want to present, host or contribute in other ways follow this link (http://cnfl.io/get-involved-mu) - first time speakers welcome!
This meetup is for your fellow event streaming enthusiasts!
The topics discussed at our events are all about event streaming, including Confluent Platform, Confluent Cloud, Apache Kafka®, Kafka Connect, streaming data pipelines, ksqlDB, Kafka Streams as well as stream processing, Security, Microservices and a lot more!!
Code of conduct: https://cnfl.io/code-of-conduct-welcome
Beyond this group, we also have the following resources to help you learn and develop your skills! See them here:
*The Meetup Hub*
Find recordings of previous meetups around the world and see upcoming dates for many more at the Meetup Hub
https://cnfl.io/meetup-hub-desc
*Ask The Community:*
-Forum;
This is a place for all the community to ask the tough questions, share knowledge and win badges :D http://cnfl.io/forum-desc
-Slack;
Join tens of thousands of community members in this community cross-collaboration tool, exchanging thousands of messages every month:
cnfl.io/slack
*Confluent Community Catalysts*
Nominate the next Community Catalysts (MVPs) and find out more here:
*Confluent Training and Certification discounts!*
Learn Apache Kafka® and become Confluent Certified (with 20% off your certification exam with the code MU2021CERT): https://cnfl.io/train-cert
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Also here’s a gift: Get $200 worth of free Confluent Cloud usage every month for your first 3 months; (that could be $600 worth, without spending a single penny) (Ts & Cs apply) http://cnfl.io/mu-try-cloud
If you’re already a user, you can get an extra $60 on top with the code: CC60COMM
Head to http://cnfl.io/get-involved-mu if you have any questions, ideas, concerns or if you want to contribute in some way!
Apache Kafka®, Kafka, and associated open source project names are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse, or review the materials provided here or at any of our Meetups.
Upcoming events (1)
See all- Mastering Real-Time Anomaly Detection & Data EngineeringNeeds location
IMPORTANT PLEASE RSVP @ https://lu.ma/nza6i4bf
We are thrilled to host the inaugural DET Warsaw Meetup! Join us at Netflix's Warsaw office (in the Wola district) for an evening of learning, networking, and fun. Refreshments will be provided.
Agenda
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5:30 to 6:00 PM: Doors open, check in, and networking
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6:00 to 7:00 PM: Talks and Q&A
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7:00 to 8:00 PM: Closing remarks and networking
Speakers & Talks
Talk #1: Content and Infrastructure Data Engineering at Netflix
Speakers: Inna Giguere (Director of Content Data Products at Netflix) and Vivek Pasari (Manager of Security and Platform Data Engineering at Netflix)In this talk, you will learn about how Netflix data engineering teams data products to enable content and infrastructure.
Netflix is hiring data engineers in Warsaw! Check out open positions here.Talk #2: Mastering Real-Time Anomaly Detection
Speaker: Olena Kutsenko (Staff Developer Advocate at Confluent)Detecting problems as they happen is essential in today’s fast-moving, data-driven world. In this talk, you’ll learn how to build a flexible, real-time anomaly detection pipeline using Apache Kafka and Apache Flink, backed by statistical and machine learning models.
We’ll start by demystifying what "anomaly" really means - exploring the different types (point, contextual, and collective anomalies) and the difference between unintentional issues and intentional outliers like fraud or abuse.Then, we’ll look at how anomaly detection is solved in practice: from classical statistical models like ARIMA to deep learning models like LSTM. You’ll learn how ARIMA breaks time series into AutoRegressive, Integrated, and Moving Average components - no math degree required (just a Python library, hehe)! We’ll also uncover why forgetting is a feature, not a bug, when it comes to LSTMs, and how these models learn to detect complex patterns over time.
Throughout, we’ll show how Kafka handles high-throughput streaming data and how Flink enables low-latency, stateful processing to catch issues as they emerge. You’ll leave knowing not just how these systems work, but when to use each type of model depending on your data and goals.
Whether you're monitoring system health, tracking IoT devices, or looking for fraud in transactions, this talk will give you the foundations and tools to detect the unexpected - before it becomes a problem.
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If you are interested in speaking or hosting a meetup, please email community@confluent.ioNot open -
