Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowJuly 7 - July 17 | Round 2 of the Power BI Dataviz World Championships. Don't miss your chance! Learn more
Hi friends...
i am brandnew to PowerBi for desktop and hope to get help from experienced users.
i have a huge xls.file on our company server. in this file are some spreadsheets (2018, 2019, 2020, 2021) that contain our salesdata - of course each sheet with identic layout (Column numbers, order of columns, formatting...) . Separation into yearly sheets was done because of row limitation in xls.
In Excel i was able to add a dataconnection to one table in this file and i used PowerPivot tableproperties to modify SQL to create a union all to combine salesdata from more than 1 initial sheet. eg:
SELECT ['2019$'].[Date],['2019$'].[Code],['2019$'].[Quantity],['2019$'].[PZN]
UNION ALL
SELECT ['2020$'].[Date],['2020$'].[Code],['2020$'].[Quantity],['2020$'].[PZN]
UNION ALL
SELECT ['2021$'].[Date],['2021$'].[Code],['2021$'].[Quantity],['2021$'].[PZN]
whenever i try to do a "GetData" using OLE BD or MySQL or SQL Database i fail due to some SQL settings...
Does anybody have an idea which connector to use that will fit my needs!?
Thanks, Alex
@vulpoid , It can issue because of MySQL diver too. What is the error you are getting
make sure the driver is installed: https://dev.mysql.com/downloads/connector/net/
Also, you have to give this query in the advance editor of the connection
Sorry for late answer - thanks for help. i found solution to get same result with powerquery. so i won't try longer with SQL.
Thanks anyway for your attempt to help. BR Alex
Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.
Join Fabric Data Days 2026: 60 days of free live/on-demand sessions, challenges, study groups, and certification opportunities.
| User | Count |
|---|---|
| 22 | |
| 22 | |
| 18 | |
| 17 | |
| 13 |
| User | Count |
|---|---|
| 61 | |
| 52 | |
| 47 | |
| 41 | |
| 38 |