Dashboards are only as good as the machine data feeding them. In this episode of the iFAKT series, we cover common data quality problems: missing values, naming, timestamps and units, and how to fix them before they reach Power BI.
You will learn how to build data quality checks into the pipeline.
Who it is for: Data engineers, BI developers and manufacturing analysts.

Become a supporter of this podcast: https://www.spreaker.com/podcast/m365-fm-microsoft-365-azure-cloud-power-platform-ai--6704921/support.

This episode includes AI-generated content.

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Podden och tillhörande omslagsbild på den här sidan tillhör Mirko Peters | Microsoft 365, Copilot, Azure Cloud & Power Platform. Innehållet i podden är skapat av Mirko Peters | Microsoft 365, Copilot, Azure Cloud & Power Platform och inte av, eller tillsammans med, Poddtoppen.