IN-PERSON: Apache Kafka® x Apache Flink® Meetup

Join us for an Apache Kafka® x Apache Flink® meetup on Thursday,April 24th from 6:00pm in Kontich, Belgium hosted by Cymo!

If you RSVP on this page, you don't need to also RSVP on the Belgium Flink meetup page.

📍Venue:
Cronos Campus, Veldkant 31, 2550 Kontich, Room OAK

🗓 Agenda:

• 6:00pm: Doors open
• 6:00pm - 6:30pm: Food, Drinks and Networking
• 6:30pm - 7:00pm: Tyler Hannan, Senior Director, Developer Advocacy, ClickHouse
• 7:00pm - 7:45pm: Srivatsan Sadagopan, Principal Data Engineer, Big Industries
• 7:45pm - 8:30pm - Additional Q&A & Networking

💡 Speaker One:
Tyler Hannan, Senior Director, Developer Advocacy, ClickHouse

Title of Talk:
(real-time)²

Abstract:
Kafka and ClickHouse are two powerful and popular technologies that can work together to create a high-performance, real-time data processing and analytics pipeline. They complement each other pretty well, and the combination can be leveraged in various use cases.In this talk, we will analyse the options, play with some demos, and pontificate on what "real-time" actually means.

Bio:
Tyler Hannan is an experienced technologist with a passion for human interaction. With a career that has spanned the private and public sectors, large enterprises, consulting, and startups of varying success, he has maintained a focus on data persistence and analysis. He is a frequent speaker at industry conferences, called on to provide commentary about market trends impacting the design and deployment of database solutions and distributed systems.

💡 Speaker Two:
Srivatsan Sadagopan, Principal Data Engineer, Big Industries

Title of Talk:
Banking Customer Use Case: PSD2 Event Processing with Apache Kafka and Flink

Abstract:
BIG Industries assisted a retail bank in enhancing its mobile banking app to comply with PSD2 and improve user-friendliness. The new feature enables customers to set custom payment thresholds for transactions, increasing security and control. It applies to all payment methods, including credit/debit cards, online transactions, and envelope payments. Users can also opt-in for push notifications for added transparency. By using Kafka for event streaming and Flink for real-time data processing, the bank ensured that customer-defined payment limits were enforced instantly and notifications were sent without delays, improving both security and customer experience.

Bio:
Srivatsan has a Master of Science in Software Systems and Data Warehousing. He has a strong domain knowledge in Telecommunications and Financial Services.
His passion for software development helped him to evolve his career from pure software testing to a lead full stack developer role.
He is a Big Data engineer with experience in developing data flow pipelines from data collection and processing to the production of data insights.
In the recent years, his expertise is in developing Apache Kafka, Spark and Flink based applications, engineering solutions using IBM cloud for one
of the largest commercial banks in Belgium.

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DISCLAIMER
We are unable to cater for any attendees under the age of 18.
If you would like to speak or host our next event please let us know! community@confluent.io