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Microsoft Fabric - Data Lakehouse

See also:

Catalog and documentation

Data Dictionary

Dataedo imports the following report objects from MS Fabric - Data Lakehouse:

  • Tables
  • Views
  • Procedures
  • Functions
  • Dependencies

Descriptions, aliases, and custom fields

When technical metadata is imported users will be able to edit descriptions of each object and element, provide meaningful aliases (titles), and document everything with additional custom fields. Dataedo reads extended properties from the following MS Fabric - Data Lakehouse objects:

  • Tables
    • Columns
  • Views
    • Columns
  • Procedures
    • Parameters
  • Functions
    • Parameters

Data Profiling

Users will be able to run data profiling for a table or view in the lakehouse and then save selected data in the repository. This data will be available from Desktop and Web.

Data Quality

Users will be able to check if data in MS Fabric Lakehouse tables is accurate, consistent, complete, and reliable using Data Quality functionality. Data Quality requires SELECT permission over the tested object.

Connection requirements

Permissions

Importing database schema requires a certain access level in the documented database. The user used for importing or updating the schema should at least have "View definition" permission granted on all objects that are to be documented. "Select" also works on tables and views.

To be able to import dependencies, the user needs to have SELECT permission on the sys.sql_expression_dependencies view.

Finding server name

Open your MS Fabric and on the left side panel choose Onelake Data Hub.

Microsoft Fabric window

On the object list find the Lakehouse you would like to document and click on three dots [ ... ].

Microsoft Fabric click Lakehouse options

From the context menu pick Copy SQL connection string.

Microsoft Fabric Lakehouse options click Copy SQL connection string

Copy it and paste it as your Server name.

Microsoft Fabric Lakehouse copy SQL connection string

Connecting to Microsoft Fabric - Data Lakehouse

For detailed connection instructions, see:

Specification

Imported metadata

ImportedEditable
Tables & External Tables
  Columns
   Data types
   Nullability
   Description
   Identity (is identity on)
   Default value
Views
  Description
  Script
  Columns
   Data types
   Nullability
   Description
   Identity (is identity on)
   Default value
Procedures
  Script
  Parameters
Functions
  Script
  Parameters
  Returned value
Dependencies

Supported features

FeatureImported
Import comments
Write comments back
Data profiling
Reference data (import lookups)
Importing from DDL
Generating DDL
FK relationship tester
Data quality

Comments

Dataedo reads comments from the following objects:

ObjectReadWrite back
Tables comments
External tables comments
Views comments

Data Lineage

SourceMethodVersion
Tables (column-level)Metadata API23.2 (2023)
Views (column-level)Metadata API23.2 (2023)
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