Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hey everyone,
First time here. I looked for an answer in the community but couldn't find it. I have received a data from an external database in Power BI. Received data is as a flat list of records. I grouped these records by their 'category' attribute. Because each record belonging to the same category have the same record structure. So it makes sense to have them as a separate tables. To come to my question: Now I have a table with one column being the category names, the second column being the data itself.
I want to convert each of these tables into separate queries. I can do so by right clicking on tables, and selecting "Add as New Query" option but this is not very future proof. Because. once my data gets updated, I might have more categories. And manually converting tables as new queries can be time consuming once I have more than 30 rows.
So question is, is there a way to automate this process? Convert each table value in "all_data" column and add them as a new query?
Any help is welcome. Thanks!
Solved! Go to Solution.
Hi @bilalg
I'm afraid it is not possible to add new queries from table values in a column of an existing query automatically. New queries can only be added manually at present.
Best Regards,
Community Support Team _ Jing
If this post helps, please Accept it as Solution to help other members find it.
Hi @bilalg
I'm afraid it is not possible to add new queries from table values in a column of an existing query automatically. New queries can only be added manually at present.
Best Regards,
Community Support Team _ Jing
If this post helps, please Accept it as Solution to help other members find it.