Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreWe've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now
Hi,
Newish to Powerbi, I've used WEBI SAP BI and can use an Inlist query. What is the equivalent in PowerBI?
The question is?
There is an Excel Table with around 400 PO (Purchase Orders, PO ) in a column which I would like to use to query a SQL database with around 10,000,000 entries.
The spreadsheet is manually edited with a PO, and would like to use these PO's t oquery the SQL Database.
What is the best method to acheive this, obvioulsy I could use merge, however that requires loading the full 10m entries.
Any suggestions and help greatly appreciated.
Regards
Glyn
Hi @jsit
I hope this information is helpful. Please let me know if you have any further questions or if you'd like to discuss this further. If this answers your question, please Accept it as a solution and give it a 'Kudos' so others can find it easily.
Thank you.
Hi @jsit
I wanted to check if you had the opportunity to review the information provided. Please feel free to contact us if you have any further questions. If my response has addressed your query, please accept it as a solution and give a 'Kudos' so other members can easily find it.
Thank you.
Hi @jsit
May I ask if you have resolved this issue? If so, please mark the helpful reply and accept it as the solution. This will be helpful for other community members who have similar problems to solve it faster.
Thank you.
Hi @jsit Try these please
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 53 | |
| 39 | |
| 35 | |
| 19 | |
| 18 |
| User | Count |
|---|---|
| 73 | |
| 73 | |
| 38 | |
| 35 | |
| 26 |