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docs/integrations/data-visualization/lightdash-and-clickhouse.md

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Once your dbt profile is configured for ClickHouse, you’ll also need to connect your **dbt project** to Lightdash.
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Because this process is the same for all data warehouses, we won’t go into detail here — you can follow the official Lightdash guide for importing a dbt project:
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[Import a dbt project → Lightdash Docs](https://docs.lightdash.com/get-started/setup-lightdash/connect-project#2-import-a-dbt-project)
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[Import a dbt project → Lightdash Docs](https://docs.lightdash.com/get-started/setup-lightdash/connect-project#2-import-a-dbt-project?utm_source=clickhouse&utm_medium=partner&utm_campaign=integration_docs)
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After connecting your dbt project, Lightdash will automatically detect your ClickHouse configuration from the `profiles.yml` file. Once the connection test succeeds, you’ll be able to start exploring your dbt models and building dashboards powered by ClickHouse.
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Defining these in YAML ensures your team is using the same definitions across dashboards and analyses. For example, you can create reusable metrics like `total_order_count`, `total_revenue`, or `avg_order_value` right next to your dbt models — no duplication required in the UI.
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To learn more about how to define these, see the Lightdash guides:
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- [How to create metrics](https://docs.lightdash.com/guides/how-to-create-metrics)
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- [How to create dimensions](https://docs.lightdash.com/guides/how-to-create-dimensions)
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- [How to create metrics](https://docs.lightdash.com/guides/how-to-create-metrics?utm_source=clickhouse&utm_medium=partner&utm_campaign=integration_docs)
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- [How to create dimensions](https://docs.lightdash.com/guides/how-to-create-dimensions?utm_source=clickhouse&utm_medium=partner&utm_campaign=integration_docs)
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---
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From here, you can build and adjust queries interactively — dragging and dropping fields, adding filters, and switching between visualization types such as tables, bar charts, or time series.
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For a deeper look at explores and how to query from your tables, see:
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[An intro to tables and the Explore page → Lightdash Docs](https://docs.lightdash.com/get-started/exploring-data/using-explores#an-intro-to-tables-and-the-explore-page)
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[An intro to tables and the Explore page → Lightdash Docs](https://docs.lightdash.com/get-started/exploring-data/using-explores#an-intro-to-tables-and-the-explore-page?utm_source=clickhouse&utm_medium=partner&utm_campaign=integration_docs)
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<Image size="lg" img={lightdash_05} alt="Creating and organizing charts within a Lightdash dashboard" border />
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Learn more about how to create and organize dashboards here:
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[Building dashboards → Lightdash Docs](https://docs.lightdash.com/get-started/exploring-data/dashboards)
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[Building dashboards → Lightdash Docs](https://docs.lightdash.com/get-started/exploring-data/dashboards?utm_source=clickhouse&utm_medium=partner&utm_campaign=integration_docs)
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<Image size="lg" img={lightdash_06} alt="Lightdash Ask AI interface showing natural language query powered by dbt metrics" border />
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Learn more about AI Agents here:
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[AI Agents → Lightdash Docs](https://docs.lightdash.com/guides/ai-agents)
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[AI Agents → Lightdash Docs](https://docs.lightdash.com/guides/ai-agents?utm_source=clickhouse&utm_medium=partner&utm_campaign=integration_docs)
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## Learn more
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To learn more about connecting dbt projects to Lightdash, visit the [Lightdash Docs → ClickHouse setup](https://docs.lightdash.com/get-started/setup-lightdash/connect-project#clickhouse).
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To learn more about connecting dbt projects to Lightdash, visit the [Lightdash Docs → ClickHouse setup](https://docs.lightdash.com/get-started/setup-lightdash/connect-project#clickhouse?utm_source=clickhouse&utm_medium=partner&utm_campaign=integration_docs).

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