This technical guide explains how to implement Apache Kafka for scalable Change Data Capture (CDC) pipelines, covering installation, setup, integration, and best practices. The article provides hands-
on examples using Python to demonstrate how Kafka can handle high-throughput, real-time data streaming while maintaining system reliability.
Reasons to Read -- Learn:
how to set up and configure Apache Kafka from scratch, including practical installation steps for different operating systems and essential configuration commands for creating topics and managing services.
how to implement real-world CDC pipelines using Python, with detailed code examples for both Kafka producers and consumers that demonstrate actual data streaming implementations.
best practices for scaling CDC pipelines, including specific techniques for partitioning, replication, monitoring with Prometheus and Grafana, and optimizing producer/consumer configurations for maximum performance.
3 min readauthor: Sarath Varma
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