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

# Quickstart

> Connect a data source and use the Asset Discovery agent to explore your data in minutes.

## Prerequisites

* Admin access to your Datachecks workspace
* Credentials for at least one supported database

***

## Step 1: Add a data source

Go to **Settings → Workspace → Integrations → Datasources** and click **New Datasource**.

Enter your database credentials and save. Datachecks supports Snowflake, Databricks, BigQuery, PostgreSQL, MySQL, Oracle, Azure SQL, and Sybase.

See [Data Sources](/data-sources/overview) for connection details by database type.

## Step 2: Create an Asset Discovery agent

1. Go to the **Agents** tab in the left sidebar.
2. Click **Create Agent**.
3. Select **Asset Discovery** as the agent type.
4. Select the data source you just added, and give the agent a name and description.
5. Click **Create** to save.

## Step 3: Run the agent

1. Click the agent you created.
2. Select the tables you want to explore — you can select all tables or choose specific ones.
3. Click **Run**. A chat window opens.

## Step 4: Explore your tables and data

In the chat window, ask the agent questions about your data:

* *"What tables are in this schema?"*
* *"What columns does the `orders` table have?"*
* *"Which columns might contain PII?"*
* *"Write a query that shows the top 10 customers by order value."*

The agent retrieves schema context and generates SQL queries on demand.

***

## Next steps

<CardGroup cols={2}>
  <Card title="Migration Assessment" icon="chart-bar" href="/agents/migration-assessment">
    Analyze stored procedures and views to assess migration complexity.
  </Card>

  <Card title="Validations" icon="shield-check" href="/validation/overview">
    Set up data quality checks on your assets.
  </Card>
</CardGroup>