Uber X Apache Flink® Meetup

Join Uber and Ververica (the original creators of Apache Flink®) for an exciting in-person meetup hosted at Uber HQ! Watch informative presentations from expert speakers, network with peers, and connect with the Apache Flink community.

Register today to secure your spot!

Event Description
Up first, learn how the Uber Flink Platform team currently provides Flink as a Service for Uber developers and data scientists to boost Uber business, and dive into the future use cases being built for Flink within Uber.

Next, Ververica will present the new Streamhouse technology, which was introduced as a result of recognising the gap between Lakehouse and real-time streaming data processing. In this session, you’ll learn how Streamhouse was implemented by reshaping Apache Flink and introducing tools like Flink CDC and Apache Paimon.

Lastly, Decodable will present a reconciliation protocol, including various reconciliation methods tailored to the unique demands of Flink for Flink jobs to keep running without failure.

Of course, no Meetup would complete without plenty of time to network, ask questions, share expertise, win swag and connect with peers.

Please note: after registration, final details and location address will be provided via email 3 days prior to the event. Make sure to check your spam filter!

Register today

Event Details

• This Meetup is a co-hosted by Uber and Ververica, the original creators of Apache Flink
• This Meetup is an in-person event only, in Sunnyvale, CA.
• Registration is required to attend. Register here. (Please note: registering for this event on Meetup does NOT guarantee your seat.)

Agenda
5:00-5:30 PM - Welcome/Intro/Networking/Refreshments
5:30-6:00 PM - Flink as a Service @ Uber
6:00-6:05 PM - Break
6:05-6:35 PM - Introducing Streamhouse
6:35-6:40 PM - Break
6:40-7:10 PM - Kubernetes-like Reconciliation Protocol for Managed Flink Services
7:10-7:30 PM - Q&A, Giveaway drawing, Networking
7:30 PM - Event ends

Refreshments and drinks will be provided.

About the Speakers
Ali Bahadir Zeybek, Lead Solutions Architect, Ververica
Na Yang, Engineer Manager, Uber
Yusheng Chen, Staff Engineer, Uber
Sharon Xie, Founding Engineer, Decodable

About Apache Flink®
Open source Apache Flink® is a framework and distribution processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale.

Apache Flink is an excellent choice to develop and run many different types of applications due to its extensive feature set, including support for stream and batch processing, sophisticated state management, event-time processing semantics, and exactly-once consistency guarantees for state. Flink has been proven to scale to thousands of cores and terabytes of application state, delivers high throughput and low latency, and powers some of the world’s most demanding stream processing applications, including companies like: Uber, CapitalOne, Comcast, ING Bank, and Alibaba.

Apache Flink Resources
Apache Flink Documentation
Ververica Academy

See you soon in Sunnyvale!