Data lakehouse at home with Redpanda and DuckDB

In this blog post, the author explains how to set up a basic Change Data Capture (CDC) pipeline for replicating data from a PostgreSQL operational database to a data warehouse using Redpanda and Debezium. The setup involves creating Docker containers to run PostgreSQL with user and payment tables, generating data with a Python script, and using Redpanda as a Kafka-compatible streaming platform to capture database changes. Debezium is employed to track and replicate these changes, storing them in MinIO, an S3-compatible object storage, in Parquet format. DuckDB, an in-process OLAP database, is used to query the data from the MinIO data lake, demonstrating the integration of various tools to facilitate real-time data analytics and processing. The post highlights the simplicity and effectiveness of using open-source tools to establish a robust data pipeline, with all necessary code available on GitHub for easy replication.

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