Power BI, as Microsoft's business-intelligence platform, has in recent years become the most widely used tool in the corporate world after Excel. But the sentence "we set up Power BI" often means "we made a few reports." A real Power BI setup starts with the data model.
01. The Power BI Ecosystem: Desktop, Service, Gateway
Power BI is actually three parts:
- Power BI Desktop: the desktop application where the report is built
- Power BI Service: the cloud environment where reports are published
- On-premises Gateway: the bridge connecting your local databases to the Service
Understanding the role of all three is the basis of architectural decisions.
02. The Data Model: The Heart Is Here
Power BI's real power is in the data model, not in the reports. A model built with star-schema logic makes it possible to write complex measures in simple DAX.
DAX written on a wrong model, no matter how good, stays slow and is impossible to maintain.
03. DAX Fundamentals
DAX (Data Analysis Expressions) is Power BI's formula language. It looks similar to Excel but works by filter, not by row. The first three functions to learn:
- CALCULATE (changing the filter)
- FILTER (row-based filter)
- SUMX (iterated sum)
If these three are understood correctly, 80% of DAX opens up.
04. Publishing and Refresh
The report is ready in Desktop. You publish it to the Service. The data needs to refresh: this can be scheduled (a maximum of 8 times a day on the standard license), or instant via the push API.
If the Gateway setup is neglected, access to local data is restricted; this is the most frequent sticking point in the early months.
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