2. Click **Add New Service**.
### Step 2: Select a Service and Connector
From the service type dropdown, select **Dashboard Services**, then click the **QuickSight** connector tile.
### Step 3: Add Service Name and Description
* Enter a unique, descriptive **Service Name**. OpenMetadata identifies services by their service name. Enter a name that distinguishes this deployment from other QuickSight services you are ingesting metadata from.
* Optional: Enter a **Description** for the service.
* **AWS Access Key ID and AWS Secret Access Key**: When you interact with AWS, you specify your AWS security credentials to verify who you are and whether you have
permission to access the resources that you are requesting. AWS uses the security credentials to authenticate and
authorize your requests ([docs](https://docs.aws.amazon.com/IAM/latest/UserGuide/security-creds.html)).
Access keys consist of two parts: An **access key ID** (for example, `AKIAIOSFODNN7EXAMPLE`), and a **secret access key** (for example, `wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY`).
You must use both the access key ID and secret access key together to authenticate your requests.
For more information, see [how to manage your access keys](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html).
* **AWS Region**: Each AWS Region is a separate geographic area in which AWS clusters data centers ([docs](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.RegionsAndAvailabilityZones.html)).
As AWS can have instances in multiple regions, OpenMetadata needs to know the region of the service you want to reach.
The AWS Region is the only required parameter when configuring a connection. When connecting to
services programmatically, OpenMetadata can extract and use the rest of the AWS configuration in different ways.
For more information, see [configuring your credentials](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html#configuring-credentials).
* **AWS Session Token (optional)**: If you are using temporary credentials to access your services, provide the AWS Access Key ID
and AWS Secret Access Key. Temporary credentials also include an AWS Session Token.
For more information, see [Using temporary credentials with AWS resources](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp_use-resources.html).
* **Endpoint URL (optional)**: To connect programmatically to an AWS service, you use an endpoint. An *endpoint* is the URL of the
entry point for an AWS web service. The AWS SDKs and the AWS Command Line Interface (AWS CLI) automatically use the
default endpoint for each service in an AWS Region. But you can specify an alternate endpoint for your API requests.
Find more information on [AWS service endpoints](https://docs.aws.amazon.com/general/latest/gr/rande.html).
* **Profile Name**: A named profile is a collection of settings and credentials that you can apply to an AWS CLI command.
When you specify a profile to run a command, the settings and credentials are used to run that command.
Multiple named profiles can be stored in the config and credentials files.
You can inform this field if you'd like to use a profile other than `default`.
Find more information about [Named profiles for the AWS CLI](https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-profiles.html).
* **Assume Role Arn**: Typically, you use `AssumeRole` within your account or for cross-account access. In this field you'll set the
`ARN` (Amazon Resource Name) of the policy of the other account.
A user who wants to access a role in a different account must also have permissions that are delegated from the account
administrator. The administrator must attach a policy that allows the user to call `AssumeRole` for the `ARN` of the role in the other account.
This is a required field if you'd like to `AssumeRole`.
Find more information on [AssumeRole](https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRole.html).
### Step 5: Configure Ingestion Options
In the **What to Ingest** step, use filter patterns to control which assets OpenMetadata ingests from your dashboard service. Filter patterns use regular expressions applied to asset names.
#### How Filter Patterns Work
* **Include**: Add one or more comma-separated regular expressions. OpenMetadata ingests only assets whose names match at least one expression. Leave blank to include all assets.
* **Exclude**: Add one or more comma-separated regular expressions. OpenMetadata skips any asset whose name matches an expression. Leave blank to exclude nothing.
Rules match asset names using one of five expressions:
* **contains**: matches any name containing the value. For example, `sales` matches `my_sales_data` and `sales_2024`.
* **starts with**: matches names beginning with the value. For example, `prod_` matches `prod_db` and `prod_schema`.
* **ends with**: matches names ending with the value. For example, `_raw` matches `events_raw` and `logs_raw`.
* **is exactly**: matches the exact name only. For example, `analytics` matches only `analytics`.
* **matches regex**: matches names using a regular expression. For example, `^prod_.*_v\d+$` matches `prod_events_v1`.
When both Include and Exclude are set, Exclude takes priority.
2. Click the service you have added.
3. Select the **Agents** tab and click **Add Agent** > **Metadata**.
For some services, the dropdown is not available and clicking **Add Agent** takes you directly to the agent configuration page.
4. On the **Configure Ingestion** page, do the following and click **Next**.
* **Name this Ingestion**: Enter a unique recognizable name for this ingestion pipeline.
* **Agent Setup**: Configure ingestion parameters. The following fields are available:
| Field | Default | Description |
| ------------------------ | ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| Db Service Prefixes | — | List of database service name prefixes used to resolve lineage between dashboards and database assets. Accepted formats: `DBService`, `DBService.Database`, `DBService.Database.Schema`, `DBService.Database.Schema.Table`. |
| Query Parser Type | Auto | Select the SQL parser used for lineage extraction from dashboard queries. **Auto** selects the best available parser automatically. **SqlGlot** is a high-performance parser with excellent dialect support; falls back to SqlParse on failure. **SqlFluff** is a comprehensive parser with strong dialect support; falls back to SqlParse on failure. |
| Mark Deleted Dashboards | On | Soft-delete dashboards in OpenMetadata when they are removed from the source. Associated lineage is also deleted. |
| Mark Deleted Data Models | On | Soft-delete data models in OpenMetadata when they are removed from the source. Associated lineage is also deleted. |
| Mark Deleted Charts | On | Soft-delete charts in OpenMetadata when they are removed from the source. |
| Include Data Models | On | Ingest data model metadata. |
| Include Draft Dashboards | On | Ingest dashboards that are in draft state. |
| Include Usage | On | Collect and ingest usage statistics for dashboards. |
* **Filter Patterns**: Apply include or exclude rules to scope which dashboards, charts, data models, and projects this agent ingests. These follow the same filter options described in **Step 5: Configure Ingestion Options**.
* **Scope & Behaviour**: Control what metadata to include and how to handle deletions. Toggle each option on or off based on your needs:
| Toggle | Default | Description |
| ---------------------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Enable Debug Log | Off | Sets the ingestion log level to DEBUG. Useful for troubleshooting. |
| Include Current Owners | Off | When enabled, replaces the current owner with a new owner from the source if the current owner is null. Recommended to keep enabled during the first metadata ingestion to capture owner information. |
| Include Tags | On | Ingest tags from the source. |
| Override Metadata | Off | When on, source values overwrite existing descriptions, tags, owners, and display names in OpenMetadata. When off, OpenMetadata only updates fields that have no existing value. |
| Override Lineage | Off | When on, existing lineage is replaced with newly extracted lineage on each run. |
5. On the **Schedule Interval** page, set when the agent runs:
* **Schedule**: Choose a preset interval (Hourly, Daily, Weekly, Monthly) or enter a custom cron expression.
* **On-Demand**: No automatic schedule; trigger the agent manually when needed.
6. Click **Add** to deploy the agent.
## Lineage
Lineage in OpenMetadata shows you which database tables power each dashboard. When lineage is set up, you can trace any dashboard back to the exact source tables in your database.
There is no separate lineage agent or lineage pipeline—lineage is collected as part of the same metadata ingestion workflow. Configuring the **Db Service Prefixes** field (covered below) is optional but recommended — it restricts table matching to specific database services. If left blank, OpenMetadata attempts to match source tables across all ingested database services.
### How to Set Up Lineage
1. Go to **Settings** > **Services** > **Dashboards**.
2. Click the dashboard service you've added.
3. Go to the **Agents** tab, then select **Add Agent** > **Add Metadata Agent**.
If a metadata agent already exists, select the three-dot context menu (⋮) next to it and select **Edit**.
4. In the **Configure Ingestion** step, scroll down to the **Lineage Information** section.
5. Optionally enter one or more database service names in the **Db Service Prefixes** field to restrict table matching to specific services. If left blank, OpenMetadata searches across all ingested database services.
The **Db Service Prefixes** field helps OpenMetadata locate the source tables and draw the lineage path from table to dashboard.
**Examples of valid entries:**
| What you enter | What it matches |
| ------------------------------- | --------------------------------------------------------- |
| `SnowflakeProd` | All tables in the Snowflake service named `SnowflakeProd` |
| `SnowflakeProd.sales_db` | Tables in the `sales_db` database within `SnowflakeProd` |
| `SnowflakeProd.sales_db.public` | Tables in the `public` schema within `sales_db` |