Fabric Lakehouse

Connecting to Microsoft Fabric Lakehouse is a seamless process, similar to connecting to familiar SQL environments.

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Server is the SQL Analytics endpoint as exposed by the Fabric. To find out the correct URL, please open your lakehouse, click the Settings gear icon in the top-left corner, then navigate to the SQL analytics endpoint section and copy the link.

Database name - click on Select to pick a database from the list of all databases available on the server, or type in by hand.

For Target Only

Data is loaded into the lakehouse by uploading data files (Parquet) and triggering the ingestion by the lakehouse. This means that both Omni Loader and Fabric Lakehouse need access to the storage. As Omni Loader can run both on premises and the cloud, while Fabric Lakehouse is cloud-only, you might have to configure their access differently.

Omni Loader supports the following authentication schemes:
  • SQL Server
    This is the standard username/password combination stored in and verified by the SQL Server.
  • AAD password
    This is Azure Active Directory password authentication.
  • AAD multi-factor
    Azure Active Directory multi-factor authentication will show a pop-up authenticating you as a separate step.
  • AAD integrated
    Azure Active Directory integrated authentication is an equivalent of what was used to be called Windows authentication for SQL Server.
Omni Loader connection to storage
  • Workspace
    Type in the name of your Fabric workspace
  • Run V-ORDER optimization
    After loading the data, use the compute of your Fabric tenant to post-process your Parquet data files and maximize the performance
Data handling defines the way Omni Loader will generate the files and clean up:
  • Clear before run
    Everything in the container folder will be deleted before the data copying starts.
  • Clear after run
    Everything in the container folder will be deleted after the data copying completes.
  • Timestamped
    Nothing is deleted. On each run, Omni Loader creates a new folder named as the current time, then place the files inside the folder. This allows for a complete history, but may generate a large amount of data after many runs.
We support three modes of storage authentication:
  • Connection string
    This is the least secure mode which should not be used in production. It requires account key and grants full access to the whole storage account.
  • Managed identity
    A secure authentication mode, leveraging AAD to grant access to the resource.
  • Shared access signature
    A good middle-ground where one can easily grant access to either a whole account or a specific container only.