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Apache Kafka® x MongoDB Meetup

WhenThu, Aug 20, 6:30 PMStarts in 12 days📅 Add to calendarWhereIBM SingaporeMarina Bay Financial Centre Tower 2 Level 42, Singapore🗺 Apple Maps🗺 Google Maps🚕 UberHostSingapore Apache Kafka® Meetup by ConfluentCostNot stated — check with the hostOneJoy doesn't handle payments — settle directly with the host or venue.CapacityOpen — no spot limit

About this event

Hello everyone! Join us for a joint meetup with MongoDB on Aug 20th from 6:30 pm in Singapore! 📍 Venue: IBM 10 Marina Blvd, Level 42 Tower 2, Singapore 018983 Level 42, Design Studio 1 Agenda: • 18:30 - 19:00: Food, Drinks & Networking • 19:00pm - 19:30pm: Jun Wei Chuah, Staff Solutions Architect, Confluent • 19:30pm - 20:00pm: Wen Jie Teo, Senior Developer Advocate, MongoDB • 20:00pm - 20:30pm: Additional Networking and QnA \*\*\* 💡 Speaker: Jun Wei Chuah, Staff Solutions Architect, Confluent Talk: Powering Next-Gen Data Pipelines: MongoDB and Kafka in Action Abstract: MongoDB and Kafka are frequently found in the modern data stack. Together, these technologies power use cases across several domains: Fintech, AI, and IoT to name a few. In this session, we discuss some of the common use cases and reference architectures around MongoDB and Kafka, and explain how to leverage the synergies between them to power future data-intensive, real-time applications. Finally, we provide some common recipes for some of these use cases that can be immediately implemented in the participants' environments. \-\-\-\-\- 💡 Speaker: Wen Jie Teo, Senior Developer Advocate, MongoDB Talk: Building Real Time Applications: From Kafka to MongoDB Abstract: In this session, we'll explore how Atlas Stream Processing work with event streams from platforms like Kafka to turn incoming events into useful, application-ready data. We'll look at how teams can consume and process Kafka streams, enrich streaming data with MongoDB, and extend existing applications with real-time capabilities. Attendees will gain a practical understanding of Atlas Stream Processing to move beyond batch workflows and create more responsive applications powered by continuously processed data. \*\*\* If you would like to speak or host our next event please let us know! [[email protected]]([email protected])

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