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This repository was archived by the owner on Jul 23, 2024. It is now read-only.

Releases: m-kovalsky/fabric_cat_tools

fabric_cat_tools 0.4.1

21 May 17:46
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Bug fixes

  • Fixed bug in the is_direct_lake function (not returning value).
  • run_model_bpa was not showing severity icons.
  • Direct Lake Migration will not fail if an object cannot be created (#15).

New features

fabric_cat_tools 0.4.0

13 May 06:46
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Bug fixes

New Features

Function retirement

fabric_cat_tools 0.3.3

03 May 10:35
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fabric_cat_tools 0.3.2

28 Apr 10:33
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  • Fixed a bug in run_model_bpa function (#6).
  • Added a parameter 'read_stats_from_data' to the vertipaq_analyzer function which allows the user to specify if they want to obtain statistics which use DAX or Spark to query the lakehouse (for Column Cardinality and Missing Rows) (#7).
  • Added the option to specify a list of pages in the export_report function. See the examples within the function documentation.
  • Added the option to specify a list of visuals (with their corresponding page) in the export_report function. See the examples within the function documentation.
  • Added the 'export' parameter to the get_lakehouse_tables function which saves the resulting dataframe to a delta table in your lakehouse.

fabric_cat_tools 0.3.1

21 Apr 20:41
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  • Microsoft updated the column names in the table showing Direct Lake's guardrails. Updated dependent functions (#4).
  • The vertipaq_analyzer function now supports executing against semantic models in different workspaces and if the lakehouse used for Direct Lake is hosted in a different workspace (by using the lakehouse_workspace parameter).
  • Added the create_warehouse function which, as expected, creates a new Fabric warehouse.
  • Added the update_item function. This allows you to update the name/description of any of the following Fabric items: 'DataPipeline', 'Eventstream', 'KQLDatabase', 'KQLQueryset', 'Lakehouse', 'MLExperiment', 'MLModel', 'Notebook', 'Warehouse'.
  • Updated export_report to check that a lakehouse is attached to the notebook.
  • Added the report_filter parameter to the export_report function, enabling a report filter to be specified upon exporting the report to a file. See the examples here as the syntax has been made user friendly.
  • Added the 'return_dataframe' parameter to the run_model_bpa function which returns a simple pandas dataframe with the BPA results instead of the standard visualization.
  • Added the 'export' parameter to the run_model_bpa function which allows for exporting the model BPA results to a table in your lakehouse.
  • The export capability in the vertipaq_analyzer function and the run_model_bpa function exports columns for 'Timestamp' and 'RunId' (RunId increments with each export run so it is easy to track and filter.

fabric_cat_tools 0.3.0

16 Apr 14:22
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fabric_cat_tools 0.2.5

15 Apr 13:17
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fabric_cat_tools 0.2.4

15 Apr 13:15
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fabric_cat_tools 0.2.3

15 Apr 13:13
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fabric_cat_tools 0.2.2

15 Apr 13:12
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