CEP-44: Kafka Integration for Cassandra CDC Using Sidecar

Hosted By
Rahul S.

Details
## Details
1. Overview
- In this session, we’ll explore how the new Change Data Capture (CDC) feature in Apache Cassandra enables real-time streaming of table mutations to Kafka.
- We’ll dive into the architectural components behind Cassandra’s Sidecar and explain how they work together to deliver CDC to a Kafka topic.
- A live demo will illustrate how to set up and use this feature, giving attendees a clear view of CDC in action.
2. Why You Should Attend
- Real-Time Insights: Learn how to capture every change in your Cassandra database in real time—ideal for analytics, event-driven applications, or auditing.
- Architectural Deep Dive: Gain a deeper understanding of how Cassandra’s Sidecar and Kafka integrate, empowering you to build robust data pipelines.
- Practical Demo: See a step-by-step walkthrough of how to set up and manage CDC streaming, from initial configurations to monitoring the data flow in Kafka.
3. Who Should Attend
- Developers & Architects: Building data pipelines or event-driven architectures.
- Data Engineers & DBAs: Interested in capturing real-time database activity for analytics or operational intelligence.
- Open Source Enthusiasts: Looking to contribute or leverage CEP-44 in their Apache Cassandra projects.
4. Agenda
- Welcome & Introductions (5 minutes)
- Understanding Cassandra CDC (10 minutes)
- Kafka Integration Using the Sidecar (15 minutes)
- Live Demo (15 minutes)
- Q&A & Networking (15 minutes)
Join us to discover how CDC with Cassandra and Kafka can power real-time data solutions. We look forward to seeing you!

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CEP-44: Kafka Integration for Cassandra CDC Using Sidecar