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Duckpond

An showcase for how a simple and Sovereign data stack can be constructed.

Some parts are inspired by: https://datalabtechtv.com/posts/data-lakehouse-dbt-ducklake/

What is inside:

  • duckdb
  • ducklake
  • dependency handling: pixi
  • secops
    • sops
    • age
  • orchestration: dagster
  • sql automation: dbt, sqlmesh
  • data catalog: datahub and openmetadata
  • object store: minio
  • databases: postgres, pg_duckdb
  • external compute: ray
  • AI example
    • API calling
    • Local models

See:

  • Slides
  • Video
  • Join one of the live sessions

dev notes

Prerequisites

Starting the background services

# set up the environment variables
# this chooses insecure defaults; if you use this for anything else than the local demo - ensure secure passwords and certificates are used
mv example.env .env

# we want to enable local dev ssl
# duckpond.data-engineering.expert points to local host
# but we want some (locally trusted) SSL cert for it
pixi run -e ops --frozen setup

# starts all needed background services
docker compose build
docker compose up -d
# - databases
# - object stores
# - object store UIs

## catalogs
docker compose --profile catalogs up -d
### for open metadata
docker compose --profile om up -d
### for datahub
docker compose --profile datahub up -d


# quick check - ensure the minio CLI works
mc alias set duckpond https://objectstore.duckpond.data-engineering.expert ${OBJECT_STORE_ROOT_USER} ${OBJECT_STORE_ROOT_PASSWORD}
mc mb duckpond/test-bucket
mc ls duckpond

services:

Explore the tutorials in the projects folder.

The main combined one is described in ./projects/100_combined/README.md

The slides can be started with:

make slides

make slides slides-vde-2025-10.md

References

Next Steps

Want to dig deeper?

Reach out to Georg to discuss how you can solve your challenges with data.

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