Advancing Fabric - Power BI meets Spark with Semantic-Link!

Поделиться
HTML-код
  • Опубликовано: 8 сен 2024

Комментарии • 14

  • @johnnyw5627
    @johnnyw5627 11 месяцев назад +3

    Just think of all the reverse ETL you can now do! 😍

  • @danhorus
    @danhorus 11 месяцев назад +2

    This is really interesting. A much easier way to run data quality assertions comparing the Lakehouse with the PBI Dataset

  • @srbasha74
    @srbasha74 10 месяцев назад +1

    Loved it. Would be interesting to see if it works in databricks

    • @Glukoulis1
      @Glukoulis1 9 месяцев назад

      yeap same here! is there a way to connect azure databricks directly to any FabricDataframe?

  • @qkktech
    @qkktech 10 месяцев назад

    It is called Unified star schema aka Pupini bridge that does the thing behind semantic link

  • @SK_squared
    @SK_squared 11 месяцев назад +3

    Is functionality available in azure databricks Simon?

  • @qkktech
    @qkktech 10 месяцев назад

    When you do like dbt-fabric + unified star schema way then you get lineage as a bonuds utherways you get a lot of python code and you must do very good housekeeping to find where is the actual gode that does that functionality like the latest thing is to put all the code you wrote into metadata table and then update that when code is changed. The key is how the single source of data is built.

  • @artemyevtushenko8722
    @artemyevtushenko8722 11 месяцев назад +1

    Would this work for a model with direct connections against something like DBSQL?

  • @NeumsFor9
    @NeumsFor9 10 месяцев назад

    Buh-bye Metric Flow 😂

  • @AbiolaSingHymns
    @AbiolaSingHymns 11 месяцев назад +3

    You've only done a job that is insufficient in this video. Why didn't you show Every steps instead of cutting the video and doing lots of talking?