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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
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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 (1)
See all- Apache Kafka® x ClickHouse Singapore MeetupThe Executive Centre, Singapore
Hello everyone! Join us for an IN PERSON Apache Kafka® x ClickHouse meetup on June 17th from 6:30 pm in Singapore!
📍 Venue:
The Executive Centre
10 Collyer Quay, Level 22, Ocean Financial Centre, Singapore 049315 · Singapore***
🗓 Agenda:- 6:30 PM: Registration, Dinner & Chitchat
- 7:00 PM: Welcome and Introductions
- 7:10 PM: Maximising Analytics with ClickHouse and Kafka Integration by Maruthi Lokanathan, ClickHouse Solution Architect, & Shelvia Hotama, Confluent Senior Solutions Engineer
- 7:40 PM: 🎤 OPEN MIC 🎤
- 8:00 PM: Q&A, Networking & Close
***
💡 Speaker:- Maruthi Lokanathan, ClickHouse Solution Architect
- Shelvia Hotama, Confluent Senior Solutions Engineer
Talk:
Maximising Analytics with ClickHouse and Kafka IntegrationAbstract:
ClickHouse, a high-performance columnar database, excels in handling large-scale data inserts and fast analytical querying, making it ideal for building real-time reporting solutions. Kafka, a distributed streaming platform, complements ClickHouse by providing high-throughput data ingestion, message ordering, and fault tolerance. It acts as a data pipeline, efficiently handling real-time data streams between systems.
By integrating ClickHouse and Kafka, you create a powerful, scalable analytics solution that combines real-time data ingestion with fast, efficient querying. In this talk, we'll explore how these two tools work together to build high-performance analytics services, and show a live demo of how to set up ClickPipes for Kafka.
