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You can create a Dataflow Gen2 dataflow that writes data to a lakehouse as an output destination. If the source data has a Decimal or Date data type, you might see a different data type appear in the lakehouse after running the dataflow. For example, when the data type is Date, the resulting data type is sometimes converted to Datetime, and when the data type is Decimal, the resulting data type is sometime converted to Float.
Status: Fixed: February 14, 2025
Product Experience: Data Factory
You see an unexpected data type in the lakehouse after running a dataflow.
No workarounds at this time. This article will be updated when the fix is released.
Events
31 Mar, 11 pm - 2 Apr, 11 pm
The biggest Fabric, Power BI, and SQL learning event. March 31 – April 2. Use code FABINSIDER to save $400.
Register todayTraining
Module
Work with Delta Lake tables in Microsoft Fabric - Training
Tables in a Microsoft Fabric lakehouse are based on the Delta Lake technology commonly used in Apache Spark. By using the enhanced capabilities of delta tables, you can create advanced analytics solutions.
Certification
Microsoft Certified: Azure Data Engineer Associate - Certifications
Demonstrate understanding of common data engineering tasks to implement and manage data engineering workloads on Microsoft Azure, using a number of Azure services.
Documentation
Known issue - Dataflow Gen2 refresh fails due to missing SQL analytics endpoint - Microsoft Fabric
A known issue is posted where Dataflow Gen2 refreshes fail due to missing staging SQL analytics endpoint.
A known issue is posted where Dataflows Gen2 staging lakehouse doesn't work in deployment pipelines
Known issue - Data warehouse tables aren't accessible or updatable - Microsoft Fabric
A known issue is posted where data warehouse tables aren't accessible or updatable.