How to migrate from Postgres to a S3 data lake with dbt Cloud and Starburst Galaxy
Blog post from Starburst
The blog post provides a detailed guide on migrating a table from Postgres to a data lake on AWS S3 using dbt Cloud and Starburst Galaxy, leveraging modern table formats such as Apache Iceberg. It outlines the setup process, including configuring catalogs within Starburst Galaxy and integrating dbt Cloud with GitHub, and explains the data transformation steps, focusing on implementing Slowly Changing Dimensions (SCD) Type 2 for handling data changes. The post highlights the use of dbt Cloud for data transformation, including creating snapshot tables and incremental updates, and utilizing Starburst Galaxy's capabilities for efficient querying and metadata tracking. By showcasing a practical example, the guide demonstrates how this migration enables enhanced change data capture and modern data lake functionalities without sacrificing ACID compliance or time-travel capabilities.