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| Apache Flink Meetup
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| With Join Na Yang (Flink Platform Enggr Mgr, Uber), Yusheng Chen (Staff Enggr, Uber), Join Ali Zeybek (Lead Solns Architect, Ververica), Sharon Xie (Founding Enggr, Decodable). |
| Venue, Online, San Francisco |
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Jan 31 (Wed) @ 05:00 PM
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FREE |
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| DETAILS |
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Prior Registration Required - Registration Link
**Location details will be shared a few days prior to the event to those who registered with the link above**
Schedule:
5:00-5:30 PM - Welcome/Intro/Networking
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, Social Networking
7:30 PM - Event Ends
Event Description:
Join Uber & Ververica (the original creators of Apache Flink) for an exciting in-person meetup hosted at Uber Sunnyvale! Watch informative presentations from expert speakers, network with peers, & connect with the Apache Flink community.
Up first, learn how the Uber Flink Platform team currently provides Flink as a Service for Uber developers & data scientists to boost Uber business, & 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 recognizing the gap between Lakehouse & real-time streaming data processing. In this session, you'll learn how Streamhouse was implemented by reshaping Apache Flink & introducing tools like Flink CDC & Apache Paimon. Last, Sharon from decodable will present a reconciliation protocol, including various reconciliation methods tailored to the unique demands of Flink for Flink jobs keeps running without failure.
Of course, no Meetup would complete without plenty of time to network, ask questions, share expertise, win swag, & connect with peers. Register today to secure your spot. Bring a friend & you'll both get double ticket entries for the cool lego set drawing giveaway!
About Apache Flink:
Open source Apache Flink is a framework & distribution processing engine for stateful computations over unbounded & bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed & at any scale.
Apache Flink is an excellent choice to develop & run many different types of applications due to its extensive feature set, including support for stream & batch processing, sophisticated state management, event-time processing semantics, & exactly-once consistency guarantees for state. Flink has been proven to scale to thousands of cores & terabytes of application state, delivers high throughput & low latency, & powers some of the world's most demanding stream processing applications, including companies like: Uber, CapitalOne, Comcast, ING Bank, & Alibaba.
Event Details:
This Meetup is a co-hosted by Uber & Ververica, the original creators of Apache Flink
This Meetup is an in-person event only
Registration is required to attend. Please RSVP here. (Please note: registering for this event on Meetup does NOT guarantee your seat.)
Presentation & Speaker Info:
Talk One (30 min)
Flink as a Service @ Uber
Join Na Yang, Flink Platform Engineer Manager at Uber, & Yusheng Chen, Staff Engineer at Uber, as they present an overview of Uber's data streaming analytics platform service using Apache Flink, & demonstrate a fully managed Flink SQL service for Uber developers & data scientists to support Uber business.
Talk Two (30 min)
Introducing Streamhouse
Topic: Join Ali Zeybek, Lead Solutions Architect with Ververica, for a deep dive into Streamhouse & the four components of a Data Processing Pipeline: Ingestion, Computation, Metadata, & Storage. Ali will discuss the evolution & creation of Streamhouse, including providing details of how Flink CDC, Apache Paimon, & Flink 2.0 helped create a new low-latency, highly scalable & flexible solution.
Talk Three (30 min)
Kubernetes-like Reconciliation Protocol for Managed Flink Services
Join Sharon Xie, Founding Engineer with Decodable, for learning how they designed & implemented a reconciliation protocol, including various reconciliation methods tailored to the unique demands of Flink for long running jobs without failures.
Prior Registration Required - Registration Link
Please Note: After registration, final details & location address will be provided via email a few days prior to the event. Make sure to check your spam folder.
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