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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!!
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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
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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
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POSTPONED! Apache Kafka® Meetup Mumbai- Nov 2025
To be announced, Mumbai, IN🚨⚠️ Hi Streamers! We wanted to let you know that, due to construction work at the venue, our in-person meetup originally scheduled for October 25th has been rescheduled to November 8th. We sincerely apologize for any inconvenience and appreciate your understanding. Please keep an eye on this page for updates — we hope to see you then! ⚠️🚨
📍Venue:
TBA***
Agenda:- 11:00- 11:15: Welcome & Introduction
- 11:15- 12:00: Susmit Vengurlekar, Founding Team Member, AIDAX
- 12:00- 12:45: Rohit Singh, Solutions Engineer, Confluent
- 12:45- 13:45: Lunch
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💡 Speaker:
Susmit Vengurlekar, Founding Team Member, AIDAXTalk:
Real-Time Click-Through Rate Analysis with Flink & KafkaAbstract:
In the fast-moving world of digital advertising, real-time Click-Through Rate (CTR) computation is critical for campaign optimization.This talk offers a hands-on, end-to-end walkthrough of building a robust stream processing pipeline using PyFlink, Kafka, and a Go-based data producer, all containerized with Docker.
We’ll start by grounding attendees in stream processing fundamentals — what streams and windows are, how event time differs from processing time, and how watermarks help Flink handle out-of-order events. We’ll also explore allowed lateness (late firing) and discuss what happens when no watermark arrives.
From there, we’ll dive into the PyFlink job that correlates impressions and clicks using Interval Joins and Tumbling Windows, calculates CTR in real time, and ensures exactly-once consistency through checkpointing.
The session concludes with a live demo showing the entire pipeline in action — from Kafka ingestion to CTR computation and visualization.Github Repo that will be used for live demo - https://github.com/susmitpy/stream_analytics_adtech_ctr
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💡 Speaker:
Rohit Singh, Solutions Engineer, ConfluentTalk:
From Streams to Tables: Exploring Tableflow in Confluent CloudAbstract:
Learn how Confluent Cloud’s Tableflow automatically turns Kafka topics into analytics-ready tables — no ETL or stream processing needed. We’ll explore how Tableflow uses Apache Iceberg under the hood to deliver fresh, queryable data while managing schema evolution and compaction seamlessly.***
DISCLAIMER
BY ATTENDING THIS EVENT IN PERSON, you acknowledge that risk includes possible exposure to and illness from infectious diseases including COVID-19, and accept responsibility for this, if it occurs.
As the classroom is a mask-on setting, please be reminded that masks should still be worn at all times unless actively eating or drinking
NOTE: We are unable to cater for any attendees under the age of 18.
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If you would like to speak or host our next event please let us know! community@confluent.io91 attendees
Past events
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