How to use Fivetran's managed data lakes service
In this video, you'll see how easy it is to set up a data pipeline using a managed data lake service, allowing you to sync data from a source system directly into a cloud-based data lake using an open table format designed for efficient querying and analytics.
You’ll learn how to:
- Set up an S3 destination in Fivetran
- Connect a source and configure your sync
- Choose which tables and columns to include in your pipeline
- Manage schema change handling preferences
- Launch your initial sync and monitor progress
- Explore synced data and query it easily
Whether you're just getting started with Fivetran or looking to streamline your data lake workflows, this demo shows how simple and powerful it is to go from source to query-ready data in minutes.
How to use Fivetran's managed data lakes service
Description
In this video, you'll see how easy it is to set up a data pipeline using a managed data lake service, allowing you to sync data from a source system directly into a cloud-based data lake using an open table format designed for efficient querying and analytics.
You’ll learn how to:
- Set up an S3 destination in Fivetran
- Connect a source and configure your sync
- Choose which tables and columns to include in your pipeline
- Manage schema change handling preferences
- Launch your initial sync and monitor progress
- Explore synced data and query it easily
Whether you're just getting started with Fivetran or looking to streamline your data lake workflows, this demo shows how simple and powerful it is to go from source to query-ready data in minutes.
How to use Fivetran's managed data lakes service
Description
In this video, you'll see how easy it is to set up a data pipeline using a managed data lake service, allowing you to sync data from a source system directly into a cloud-based data lake using an open table format designed for efficient querying and analytics.
You’ll learn how to:
- Set up an S3 destination in Fivetran
- Connect a source and configure your sync
- Choose which tables and columns to include in your pipeline
- Manage schema change handling preferences
- Launch your initial sync and monitor progress
- Explore synced data and query it easily
Whether you're just getting started with Fivetran or looking to streamline your data lake workflows, this demo shows how simple and powerful it is to go from source to query-ready data in minutes.
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