> For the complete documentation index, see [llms.txt](https://documentation.immuta.com/latest/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://documentation.immuta.com/latest/developer-guides/api-intro/integrations-api/getting-started.md).

# Getting Started

Configure your data platform, protect your data, and register your metadata via the API

The integrations API is a REST API that allows you to integrate your remote data platform with Immuta so that Immuta can manage and enforce access controls on your data.

To configure an integration using the API, you must have the `APPLICATION_ADMIN` Immuta permission.

## Configure your integration

```mermaid
graph LR
B(Connect data platform) --> C(Protect data) --> D(Register metadata);

style B fill:#2F6BA7,color:#fff
style C fill:#fff
style D fill:#fff
```

Use the `POST /integrations` endpoint to configure the integration so that Immuta can enforce access controls on tables registered as Immuta data sources. See a section below for a sample request and details about configuring your integration.

### Amazon S3 example

{% hint style="info" %}
**Private preview**: This integration is available to select accounts. Contact your Immuta representative for details.
{% endhint %}

```bash
curl -X 'POST' \
    'https://www.organization.immuta.com/integrations' \
    -H 'accept: application/json' \
    -H 'Content-Type: application/json' \
    -H 'Authorization: 846e9e43c86a4ct1be14290d95127d13f' \
    -d '{
    "type": "Native S3",
    "autoBootstrap": false,
    "config": {
        "name": "S3 integration",
        "awsAccountId": "123456789",
        "awsRegion": "us-east-1",
        "awsLocationRole": "arn:aws:iam::123456789:role/access-grants-instance-role",
        "awsLocationPath": "s3://",
        "authenticationType": "accessKey",
        "awsAccessKeyId": "123456789",
        "awsSecretAccessKey": "123456789"
    }
    }'
```

1. [Set up an Access Grants instance](/latest/developer-guides/api-intro/integrations-api/how-to-guides/s3-api.md#set-up-s3-access-grants-instance).
2. Copy the request example.
3. Replace the values in the request with your Immuta URL and [API key or bearer token](#authenticate-with-the-api).
4. Change the `config` values to your own, where
   * **name** is the name for the integration that is unique across all Amazon S3 integrations configured in Immuta.
   * **awsAccountId** is the ID of your AWS account.
   * **awsRegion** is the account's AWS region (such as `us-east-1`).
   * **awsLocationRole** is the AWS IAM role ARN assigned to the base access grants location. This is the role the AWS Access Grants service assumes to vend credentials to the grantee.
   * **awsLocationPath** is the base S3 location prefix that Immuta will use for this connection when registering S3 data sources. This path must be unique across all S3 integrations configured in Immuta.
   * **awsAccessKeyId** is the AWS access key ID of the AWS account configuring the integration.
   * **awsSecretAccessKey** is the AWS secret access key of the AWS account configuring the integration.

For more configuration examples, see the [Configure an Amazon S3 integration guide](/latest/developer-guides/api-intro/integrations-api/how-to-guides/s3-api.md). For information about the configuration payload, see the [Integration payload reference guide](/latest/developer-guides/api-intro/integrations-api/reference-guides/payload.md).

### Azure Synapse Analytics example

```bash
curl -X 'POST' \
    'https://www.organization.immuta.com/integrations' \
    -H 'accept: application/json' \
    -H 'Content-Type: application/json' \
    -H 'Authorization: 846e9e43c86a4ct1be14290d95127d13f' \
    -d '{
    "type": "Azure Synapse Analytics",
    "autoBootstrap": true,
    "config": {
        "host": "organization.azure.com",
        "schema": "immuta",
        "database": "sample_database",
        "username": "taylor@synapse.com",
        "password": "abc1234",
        "authenticationType": "userPassword"
    }
    }'
```

Replace the values in the request with your Immuta URL and [API key or bearer token](#authenticate-with-the-api), and change the `config` values to your own, where

* **host** is the URL of your Azure Synapse Analytics account.
* **schema** is the name of the Immuta-managed schema where all your secure views will be created and stored.
* **database** is the name of an existing database where the Immuta system user will store all Immuta-generated schemas and views.
* **username** and **password** are the username and password of the system account that can act on Azure Synapse Analytics objects and configure the integration.

The example sets `autoBootstrap` to `true`, which grants Immuta one-time access to credentials to configure the resources in your Azure Synapse Analytics environment for you. If you set `autoBootstrap` to `false`, you must manually [run the bootstrap script](/latest/developer-guides/api-intro/integrations-api/how-to-guides/synapse-api.md#manual-setup) in your Azure Synapse Analytics environment yourself before making the request.

For more configuration examples, see the [Configure an Azure Synapse Analytics integration guide](/latest/developer-guides/api-intro/integrations-api/how-to-guides/synapse-api.md). For information about the configuration payload, see the [Integration payload reference guide](/latest/developer-guides/api-intro/integrations-api/reference-guides/payload.md).

### Google BigQuery example

{% hint style="info" %}
**Private preview**: This integration is available to select accounts. Contact your Immuta representative for details.
{% endhint %}

```bash
curl -X 'POST' \
    'https://www.organization.immuta.com/integrations' \
    -H 'accept: application/json' \
    -H 'Content-Type: application/json' \
    -H 'Authorization: 846e9e43c86a4ct1be14290d95127d13f' \
    -d '{
    "type": "Google BigQuery",
    "autoBootstrap": false,
    "config": {
        "role": "immuta",
        "datasetSuffix": "_secureView",
        "dataset": "immuta",
        "location": "us-east-1",
        "credential": "{\"type\":\"service_account\",\"project_id\":\"innate-conquest-123456\",\"private_key_id\":\"9163c12345690924f5dd218ff39\",\"private_key\":\"-----BEGIN PRIVATE KEY-----\nXXXXXXXro0s\n/yQlPQijowkccmrmWJyr93kdLnwJzBvLHCto/+W\ncvF2ygX9oM/dyUK//z//4nptMp+Ck//Yw3D4rIBwGu4DWiR1qRnf\nDoGyXfThPTQ==\n-----END PRIVATE KEY-----\n\",\"client_email\":\"service-account-id@innate-conquest-123456.iam.gserviceaccount.com\",\"client_id\":\"1166290***432952487857\",\"auth_uri\":\"https://accounts.google.com/o/oauth2/auth\",\"token_uri\":\"https://oauth2.googleapis.com/token\",\"auth_provider_x509_cert_url\":\"https://www.googleapis.com/oauth2/v1/certs\",\"client_x509_cert_url\":\"https://www.googleapis.com/robot/v1/metadata/x509/service-account-id%40innate-conquest-123456.iam.gserviceaccount.com\",\"universe_domain\":\"googleapis.com\"}"
    }
    }'
```

1. [Create a Google Cloud service account and role](/latest/configuration/integrations/google-bigquery.md#google-cloud-service-account-and-role-used-by-immuta-to-connect-to-google-bigquery) by either using the Google Cloud console or the provided Immuta script.
2. Copy the request example. The example uses JSON format, but the request also accepts YAML.
3. Replace the **Immuta URL** and [**API key**](#authenticate-with-the-api) with your own.
4. Change the **config** values to your own, where
   * **role** is the Google Cloud role used to connect to Google BigQuery.
   * **datasetSuffix** is the suffix to postfix to the name of each dataset created to store secure views. This string must start with an underscore.
   * **dataset** is the name of the BigQuery dataset to provision inside of the project for Immuta metadata storage.
   * **location** is the dataset's location, which can be any valid GCP location (such as `us-east-1`).
   * **credential** is the Google BigQuery service account JSON keyfile credential content. See the [Google documentation](https://developers.google.com/workspace/guides/create-credentials#create_credentials_for_a_service_account) for guidance on generating and downloading this keyfile.

For more configuration examples, see the [Configure a Google BigQuery integration](/latest/developer-guides/api-intro/integrations-api/how-to-guides/bigquery-api.md) guide. For information about the configuration payload, see the [Integration payload reference guide](/latest/developer-guides/api-intro/integrations-api/reference-guides/payload.md).

### Redshift example

```bash
curl -X 'POST' \
    'https://www.organization.immuta.com/integrations' \
    -H 'accept: application/json' \
    -H 'Content-Type: application/json' \
    -H 'Authorization: 846e9e43c86a4ct1be14290d95127d13f' \
    -d '{
    "type": "Redshift",
    "autoBootstrap": true,
    "config": {
        "host": "organization.aws.amazon.com",
        "database": "immuta",
        "initialDatabase": "REDSHIFT_SAMPLE_DATA",
        "authenticationType": "userPassword",
        "username": "taylor@redshift.com",
        "password": "abc1234"
    }
    }'
```

Replace the values in the request with your Immuta URL and [API key or bearer token](#authenticate-with-the-api), and change the `config` values to your own, where

* **host** is the URL of your Redshift account.
* **database** is the name of a new empty database that the Immuta system user will manage and store metadata in.
* **initialDatabase** is the name of an existing database in Redshift that Immuta initially connects to and creates the Immuta-managed database.
* **authenticationType** is the type of authentication to use when connecting to Redshift.
* **username** and **password** are the credentials for the system account that can act on Redshift objects and configure the integration.

The example sets `autoBootstrap` to `true`, which grants Immuta one-time access to credentials to configure the resources in your Redshift environment for you. If you set `autoBootstrap` to `false`, you must manually [run the bootstrap script](/latest/developer-guides/api-intro/integrations-api/how-to-guides/redshift-api.md#manual-setup) in your Redshift environment yourself before making the request.

For more configuration examples, see the [Configure a Redshift integration guide](/latest/developer-guides/api-intro/integrations-api/how-to-guides/redshift-api.md). For information about the configuration payload, see the [Integration payload reference guide](/latest/developer-guides/api-intro/integrations-api/reference-guides/payload.md).

## Protect your data

```mermaid
graph LR
B(Connect data platform) --> C(Protect data) --> D(Register metadata);

style B fill:#fff
style C fill:#2F6BA7,color:#fff
style D fill:#fff
```

Map usernames and create policies before you register your metadata to ensure that policies are enforced on tables and views immediately.

1. [Map usernames](/latest/configuration/people/immuta-users/how-to-guides/external-user-mapping.md) to Immuta to ensure Immuta properly enforces policies and audits user queries.
2. Build global policies in Immuta to enforce access controls:
   * [Create policies via the API](/latest/developer-guides/api-intro/immuta-v1-api/manage-data-access/policy.md)
   * [Create subscription policies in the UI](/latest/governance/author-policies-for-data-access-control/authoring-policies-in-secure/section-contents/how-to-guides/subscription-policy-tutorial.md)
   * [Create data policies in the UI](/latest/governance/author-policies-for-data-access-control/authoring-policies-in-secure/data-policies/how-to-guides/data-policy-tutorial.md)

## Register metadata

```mermaid
graph LR
B(Connect data platform) --> C(Protect data) --> D(Register metadata);

style B fill:#fff
style C fill:#fff
style D fill:#2F6BA7,color:#fff
```

Register your metadata using the API or Immuta UI:

* API how-to guides
  * [Amazon S3](/latest/developer-guides/api-intro/integrations-api/how-to-guides/s3-api.md#create-a-data-source)
  * [Azure Synapse Analytics](/latest/developer-guides/api-intro/immuta-v1-api/connect-your-data/asa.md)
  * [Redshift](/latest/developer-guides/api-intro/immuta-v1-api/connect-your-data/redshift.md)
* UI how-to guide: [Create a data source](/latest/configuration/integrations/registering-metadata/data-sources/register-data-sources.md)

## Additional resources

### How-to guides

See the following how-to guides for configuration examples and steps for creating, managing, or disabling your integration:

* [Amazon S3 integration API reference](/latest/developer-guides/api-intro/integrations-api/how-to-guides/s3-api.md)
* [Azure Synapse Analytics integration API reference](/latest/developer-guides/api-intro/integrations-api/how-to-guides/synapse-api.md)
* [Google BigQuery integration API reference](/latest/developer-guides/api-intro/integrations-api/how-to-guides/bigquery-api.md)
* [Redshift integration API reference](/latest/developer-guides/api-intro/integrations-api/how-to-guides/redshift-api.md)

### Reference guides

See the following reference guides for information about the integrations API endpoints, payloads, and responses:

* [Integrations API endpoints](/latest/developer-guides/api-intro/integrations-api/reference-guides/integrations-api.md)
* [Integrations API payloads](/latest/developer-guides/api-intro/integrations-api/reference-guides/payload.md)
* [Integrations API response schema](/latest/developer-guides/api-intro/integrations-api/reference-guides/response-schema.md)
* [HTTP status codes and error messages](/latest/developer-guides/api-intro/integrations-api/reference-guides/status-codes.md)


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