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how to refresh individual tables or partitions in power bi semantic models from fabric data pipelines.
Refresh only the parts of your semantic model that you really need to!
how to call fabric rest apis from python notebooks.
Learn how to call Fabric REST APIs from python notebooks - from outside or within Fabric.
how to team up power bi with fabric kql (or adx) to unlock graph insights.
Let's get those graph and network data structures into Power BI with the help of Fabric KQL.
how to reframe (“refresh”) your direct lake semantic model from fabric data pipelines.
Manually trigger a refresh of direct lake semantic models from fabric data pipelines!
how to monitor the fallback behavior of Direct Lake semantic models.
Let's create our very own monitoring Power BI report on top of Direct Lake semantic models.
how to pre-warm your power bi semantic model from fabric data pipelines.
Warm up the data in your semantic models with Fabric Data Pipelines!
how to automatically sync data from your import mode semantic models to delta tables in onelake.
Let's check out the new feature to automatically sync data from your import mode semantic models to your OneLake.
how to create simple (and funny) semantic models that change its data with every refresh.
Get some simple to use mock-up data to test refreshes and other fabric and power bi features.
how to query and store meta data of your semantic model with sempy and dax info functions.
Store the meta data of your semantic models with the new native DAX info functions and Sempy in your Fabric Lakehouse.
how to call fabric rest apis from fabric data pipelines.
Learn how to call Fabric REST APIs from Fabric Data Pipelines!
how to call power bi rest apis from fabric data pipelines.
Learn how to call Power BI REST APIs from Fabric Data Pipelines!