Streaming Data Pipelines and Analytics with Qlik and Kafka

This post introduces Qlik Replicate as a tool for real-time Change Data Capture (CDC) from databases to Kafka. It details how Qlik Replicate monitors database transaction logs to capture changes with low impact, avoiding queries or triggers. The post outlines configuration options for the Kafka target, including broker connection, security models, message formats (JSON, Avro), message publishing (topic naming, partitioning strategy by message key or schema/table name), and Schema Registry integration. It also discusses customizing message payloads to include header information (operation type, timestamp) and before/after data values, and the ability to omit specific columns. A real-world example of a credit card payment processing application architecture using Qlik Replicate and Kafka is provided.