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Update sl-getting-started.md #4137

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Sep 29, 2023
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mirnawong1 Sep 27, 2023
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2 changes: 1 addition & 1 deletion website/docs/docs/build/sl-getting-started.md
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Expand Up @@ -34,7 +34,7 @@ However, to experience the power of the universal [dbt Semantic Layer](/docs/use

- Have an understanding of key concepts in [MetricFlow](/docs/build/about-metricflow), which powers the revamped dbt Semantic Layer.
- Have both your production and development environments running dbt version 1.6 or higher. Refer to [upgrade in dbt Cloud](/docs/dbt-versions/upgrade-core-in-cloud) for more info.
- Use Snowflake, BigQuery, Databricks, Redshift, or Postgres (CLI only. dbt Cloud support coming soon).
- Use Snowflake, BigQuery, Databricks, Redshift, or Postgres (Postgres available in the CLI only, dbt Cloud support coming soon).
- Create a successful run in the environment where you configure the Semantic Layer.
- **Note:** Semantic Layer currently supports the Deployment environment for querying. (_development querying experience coming soon_)
- Set up the [Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview) in the integrated tool to import metric definitions.
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