Building a Data Lakehouse with DuckDB and DuckLake

A data lakehouse can be built at low cost using the open-source DuckDB and its DuckLake extension. This tutorial demonstrates the process by first creating a local lakehouse from a Parquet file, exploring features like data updates, schema evolution, and time-travel queries. It then shows how to expand the system by incorporating an additional Parquet file stored remotely in an Amazon S3 bucket. The final steps involve joining the local customer data with the remote orders data, showcasing how to query across different data sources within the lakehouse architecture.