Managed Data Lake Service Tutorials

The Managed Data Lake Service tutorials walk you through the most common workflows for setting up, configuring, and using your data lake with Fivetran. These step-by-step tutorials cover deployment on Amazon Web Services (AWS), Azure Data Lake Storage (ADLS), and Google Cloud Storage (GCS), and show you how to query Fivetran Managed Iceberg tables from Snowflake, helping you get started quickly and manage your data lake with confidence.

Tutorials

Use these tutorials to learn how to set up and use Fivetran Managed Data Lake Service. They provide step-by-step guidance for configuring a data lake on AWS, Azure, or GCS, and for querying Fivetran Managed Iceberg tables from Snowflake.

• Set up an Amazon S3 data lake: Configure a data lake on Amazon S3, including bucket setup, IAM roles, and Fivetran integration.

• Set up an Azure data lake: Configure a data lake on Azure Data Lake Storage, including storage account setup, access management, and Fivetran integration.

• Set up a Google Cloud Storage data lake: Configure a data lake on Google Cloud Storage, including bucket setup, service account configuration, and Fivetran integration.

• Query Fivetran-managed Iceberg tables from Snowflake: Learn how to query Fivetran Managed Iceberg tables from Snowflake using catalog integrations, external volumes, and catalog-linked databases.

For additional guidance, see our Managed Data Lake Service documentation or contact Fivetran Support.