{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "jddevtime-open-lakehouse-compute-fabric--run-full-lakehouse-on-one-machine",
 "repo": "jddevtime/open-lakehouse-compute-fabric",
 "repo_url": "https://github.com/jddevtime/open-lakehouse-compute-fabric",
 "repo_slug": "jddevtime-open-lakehouse-compute-fabric",
 "title": "Run a full lakehouse platform on one machine",
 "page_title": "How to run a full lakehouse platform on one machine with Open Lakehouse Compute Fabric",
 "summary": "Start the console, SQL, notebooks and sample Retail lakehouse on a laptop with Python only.",
 "who": "A data analyst or developer who wants to try a lakehouse platform locally, with no cloud account and no Spark install.",
 "problem": "Setting up a lakehouse with catalog, SQL, notebooks and dashboards usually means several services and cloud accounts before any data can be queried.",
 "outcome": "A running OLCF console on one machine with SQL on DuckDB, Python notebooks, dashboards, pipelines and a sample Retail lakehouse.",
 "steps": [
  "Install OLCF using the Install section of the README.",
  "Run `olcf quickstart`.",
  "Open the console the quickstart reports and open the sample Retail lakehouse.",
  "Run a query in the SQL editor against the sample lakehouse and check that rows come back."
 ],
 "agent_prompt": "Use the open-lakehouse-compute-fabric repo (jddevtime/open-lakehouse-compute-fabric). Install it from the README Install section, run `olcf quickstart`, and report the console address and whether the sample Retail lakehouse loads. Verify by running one SQL query against the sample lakehouse and returning the row count.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "30 minutes",
 "basis": "readme",
 "caveat": "The README marks this release as 0.1.0 beta for evaluation on trusted infrastructure, so do not point it at production data yet.",
 "category": "Data and analytics",
 "tags": [
  "Data and analytics"
 ],
 "lang": "python",
 "requirements": [
  "Python and a Linux machine (the README says it runs end to end on Linux)",
  "Installation of the OLCF package as described in the README Install section",
  "For the multi-machine fabric: a Spark runtime installed with the JDK, and machines that can reach the control plane",
  "For the Fabric extension: a Fabric tenant you control, the olcf_fabric wheel in a Fabric Environment, and Entra and network setup"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": true,
 "score": 1.0,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/jddevtime-open-lakehouse-compute-fabric/run-full-lakehouse-on-one-machine/",
 "md": "https://dedupedai.com/use-cases/jddevtime-open-lakehouse-compute-fabric/run-full-lakehouse-on-one-machine/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/jddevtime-open-lakehouse-compute-fabric--run-full-lakehouse-on-one-machine.json",
 "api_version": "v1"
}