{"id":34963854,"url":"https://github.com/moritzkoerber/local-data-stack","last_synced_at":"2026-01-28T16:06:44.824Z","repository":{"id":290215326,"uuid":"973672596","full_name":"moritzkoerber/local-data-stack","owner":"moritzkoerber","description":"This project demos how to integrate DuckDB and Delta Lake with dbt, orchestrated by Dagster. All data is stored and processed locally.","archived":false,"fork":false,"pushed_at":"2025-12-12T18:30:57.000Z","size":883,"stargazers_count":9,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-12-14T09:18:31.305Z","etag":null,"topics":["dagster","dbt","delta-lake","delta-rs","polars","sql","uv"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/moritzkoerber.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-04-27T13:52:29.000Z","updated_at":"2025-12-12T18:31:01.000Z","dependencies_parsed_at":"2025-05-26T23:47:02.982Z","dependency_job_id":"9e44f6ec-f8a3-49f3-82d9-e540bc8e0019","html_url":"https://github.com/moritzkoerber/local-data-stack","commit_stats":null,"previous_names":["moritzkoerber/dbt-duckdb","moritzkoerber/local-modern-data-stack","moritzkoerber/local-data-stack"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/moritzkoerber/local-data-stack","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/moritzkoerber%2Flocal-data-stack","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/moritzkoerber%2Flocal-data-stack/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/moritzkoerber%2Flocal-data-stack/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/moritzkoerber%2Flocal-data-stack/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/moritzkoerber","download_url":"https://codeload.github.com/moritzkoerber/local-data-stack/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/moritzkoerber%2Flocal-data-stack/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28846792,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-28T15:15:36.453Z","status":"ssl_error","status_checked_at":"2026-01-28T15:15:13.020Z","response_time":57,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["dagster","dbt","delta-lake","delta-rs","polars","sql","uv"],"created_at":"2025-12-26T22:51:32.492Z","updated_at":"2026-01-28T16:06:44.820Z","avatar_url":"https://github.com/moritzkoerber.png","language":"Python","readme":"# Local data stack\n\nThis project demos how to integrate DuckDB and Delta Lake with dbt, orchestrated by Dagster. All data is stored and processed locally/on-premise. The whole pipeline is partitioned by date range and scheduled to run daily. The stack queries stock exchange (Xetra) data through an API and upserts the result into a Delta table (= bronze layer). The table serves as a source for dbt, which does a layered incremental load into a DuckDB database: first into silver, then into gold. Finally, the gold table is queried with DuckDB to create a line chart in Plotly. Overview:\n\n![Overview](docs/img/overview.png)\n\n## How to run\n\nThe stack uses [uv](https://docs.astral.sh/uv/getting-started/installation/) to manage its dependencies. Simply run `uv run dg dev` to launch the dagster webserver.\n","funding_links":[],"categories":["Learning Material"],"sub_categories":["Projects"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmoritzkoerber%2Flocal-data-stack","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmoritzkoerber%2Flocal-data-stack","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmoritzkoerber%2Flocal-data-stack/lists"}