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What is this group about?
The topics discussed at these events are all about event streaming technologies, including Confluent, 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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The Global Community
New to our Community? We have plenty of resources and programs to help you get the most from your learning and share your knowledge and experience with the world!
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Important:
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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Live in Singapore! Apache Kafka® Meetup – Featuring Jun Rao
IMDA Singapore, 10 Pasir Panjang Road, Singapore 117438, Singapore, SGHello everyone! Join us for an IN PERSON Apache Kafka® meetup on May 18th from 6:30pm, hosted by IMDA in Singapore!
📍 Venue:
IMDA
10 Pasir Panjang Rd, Mapletree Business City
Level 5 Events Room 1&2
Singapore 117438***
🗓 Agenda:- 18:30pm - 19:00pm: Food, Drinks & Networking
- 19:00pm - 20:00pm: Jun Rao, Co-founder, Confluent
- 20:00pm - 20:30pm: Additional Q&A / Networking
***
💡 Speaker:
Jun Rao, Co-founder, ConfluentTalk:
Queues for KafkaAbstract:
Event streaming is great but sometimes it's easier to use a queue, especially when parallel consumption is more important than ordering. Wouldn't it be great if you had the option of consuming your data in Apache Kafka just like a message queue? For workloads where each message is an independent work item, you'd really like to be able to run as many consumers as you need, cooperating to handle the load, and to acknowledge messages one at a time as the work is completed. You might even want to be able to retry specific messages. This is much easier to achieve using a queue rather than a topic with a consumer group. KIP-932 brings queuing semantics to Apache Kafka. It introduces the concept of share groups. Share groups let your applications consume data off regular Kafka topics with per-message acknowledgement and without worrying about balancing the number of partitions and consumers. With this KIP, you can bring your queuing workloads to Apache Kafka. Come and hear about this innovative new feature being added to Apache Kafka 4.1.***
If you would like to speak or host our next event please let us know! community@confluent.io34 attendees
Past events
68