## What's next

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Great job on completing the comprehensive <Constant name="semantic_layer" /> guide 🎉! You should hopefully have gained a clear understanding of what the <Constant name="semantic_layer" /> is, its purpose, and when to use it in your projects.

You've learned how to:

- Set up your Snowflake environment and <Constant name="dbt" />, including creating worksheets and loading data.
- Connect and configure <Constant name="dbt" /> with Snowflake.
- Build, test, and manage <Constant name="dbt" /> projects, focusing on metrics and semantic layers.
- Run production jobs and query metrics with our available integrations.

For next steps, you can start defining your own metrics and learn additional configuration options such as [exports](/docs/use-dbt-semantic-layer/exports), [fill null values](/docs/build/advanced-topics), [implementing <Constant name="mesh" /> with the <Constant name="semantic_layer" />](/docs/use-dbt-semantic-layer/sl-faqs#how-can-i-implement-dbt-mesh-with-the-dbt-semantic-layer), and more.

Here are some additional resources to help you continue your journey:

- [<Constant name="semantic_layer" /> FAQs](/docs/use-dbt-semantic-layer/sl-faqs)
- [Available integrations](/docs/cloud-integrations/avail-sl-integrations)
- Demo on [how to define and query metrics with MetricFlow](https://www.loom.com/share/60a76f6034b0441788d73638808e92ac?sid=861a94ac-25eb-4fd8-a310-58e159950f5a)
- [Join our live demos](https://www.getdbt.com/resources/webinars/dbt-cloud-demos-with-experts)

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