How-to Guides
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The how-to guides in this section illustrate how to integrate your remote data platform with Immuta so you can manage and enforce access controls on your data.
Immuta's Amazon S3 integration allows users to apply subscription policies to data in S3 to restrict what prefixes, buckets, or objects users can access. To enforce access controls on this data, Immuta creates S3 grants that are administered by S3 Access Grants, an AWS feature that defines access permissions to data in S3.
Follow this guide to configure and manage your Amazon S3 integration. Example requests and responses are provided throughout the guide so that you can quickly copy and update them with your own settings.
In this integration, Immuta generates policy-enforced views in a schema in your configured Azure Synapse Analytics Dedicated SQL pool for tables registered as Immuta data sources.
Follow this guide to configure and manage your Azure Synapse Analytics integration. Example requests and responses are provided throughout the guide so that you can quickly copy and update them with your own settings.
Immuta’s integration with Unity Catalog allows you to manage multiple Databricks workspaces through Unity Catalog while protecting your data with Immuta policies. Instead of manually creating UDFs or granting access to each table in Databricks, you can author your policies in Immuta and have Immuta manage and enforce Unity Catalog access-control policies on your data in Databricks clusters or SQL warehouses.
Follow this guide to configure and manage your Databricks Unity Catalog integration. Example requests and responses are provided throughout the guide so that you can quickly copy and update them with your own settings.
In this integration, Immuta generates policy-enforced views in your configured Google BigQuery dataset for tables registered as Immuta data sources.
Follow this guide to configure and manage your Google BigQuery integration. Example requests and responses are provided throughout the guide so that you can quickly copy and update them with your own settings.
Immuta generates policy-enforced views in your configured Redshift schema for tables registered as Immuta data sources.
Follow this guide to configure and manage your Redshift integration. Example requests and responses are provided throughout the guide so that you can quickly copy and update them with your own settings.
Immuta manages access to Snowflake tables by administering Snowflake row access policies and column masking policies on those tables, allowing users to query tables directly in Snowflake while dynamic policies are enforced.
Follow this guide to configure and manage your Snowflake integration. Example requests and responses are provided throughout the guide so that you can quickly copy and update them with your own settings.
Immuta policies are translated into Starburst rules and permissions and applied directly to tables within users’ existing catalogs.
Follow this guide to configure and manage your Starburst (Trino) integration. Example requests and responses are provided throughout the guide so that you can quickly copy and update them with your own settings.