> ## Documentation Index
> Fetch the complete documentation index at: https://docs.sidecardata.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Quickstart

> A typical onboarding flow for connecting your data stack to Sidecar

## Typical Setup Order

Most teams connect their tools in this order:

<Steps>
  <Step title="Connect your data warehouse">
    Start with [Snowflake](/integrations/data-warehouses/snowflake), [BigQuery](/integrations/data-warehouses/bigquery), [Redshift](/integrations/data-warehouses/redshift), or [Databricks](/integrations/data-warehouses/databricks). This is where Sidecar discovers your tables, views, and query history.
  </Step>

  <Step title="Connect your transformation layer">
    Add [dbt Cloud](/integrations/transformation/dbt-cloud) or [dbt Core](/integrations/transformation/dbt-core) so Sidecar can map your models, tests, and lineage.
  </Step>

  <Step title="Connect your BI tool">
    Add [Looker](/integrations/bi-analytics/looker), [Metabase](/integrations/bi-analytics/metabase), [Power BI](/integrations/bi-analytics/power-bi), [Lightdash](/integrations/bi-analytics/lightdash), or [Omni](/integrations/bi-analytics/omni) to see dashboard-to-table lineage.
  </Step>

  <Step title="Connect communication tools">
    Add [Slack](/integrations/communication/slack) or [Microsoft Teams](/integrations/communication/ms-teams) to enable alerts and thread anchoring.
  </Step>

  <Step title="Connect project management">
    Add [Jira](/integrations/project-management/jira) or [Linear](/integrations/project-management/linear) to create tickets from Slack threads using the Sidecar bot.
  </Step>
</Steps>

<Info>
  You don't need to connect everything at once. Each integration works independently — add them as your team is ready.
</Info>