Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

July 28 - August 9 | Final Round of the Power BI Dataviz World Championships. This is your chance. Learn more

Reply
im-saboor
New Member

Large data file with decimal value error

imsaboor_0-1784816741852.png

I have large number of columns consist of volumes and text along with dates. 

Any quick solution to solve this decimal error. Thank you for your help!

2 ACCEPTED SOLUTIONS
Zanqueta
Super User
Super User

Hi @im-saboor 

A simple approach is to identify the problematic column and assign the correct data type, or use a safer conversion with try ... otherwise so that a single invalid value does not cause the entire query to fail.
 
try Number.From([ColumnName]) otherwise null
 
For large datasets, I would also check whether some columns containing identifiers, invoice numbers, barcodes, or account numbers should be stored as Text rather than Decimal Number.
 
 
 
 
 
 

If this response was helpful in any way, I’d gladly accept a kudo.
Please mark it as the correct solution. It helps other community members find their way faster.
Connect with me on LinkedIn

View solution in original post

v-csrikanth
Community Support
Community Support

Hi @im-saboor 
We would like to inquire whether have you got the chance to check the solutions provided by @Zanqueta in community to resolve the issue. We hope the information provided helps to clear the query. Should you have any further queries, kindly feel free to contact the Microsoft Fabric community.

View solution in original post

3 REPLIES 3
v-csrikanth
Community Support
Community Support

Hi @im-saboor 
We would like to inquire whether have you got the chance to check the solutions provided by @Zanqueta in community to resolve the issue. We hope the information provided helps to clear the query. Should you have any further queries, kindly feel free to contact the Microsoft Fabric community.

Zanqueta
Super User
Super User

Hi @im-saboor 

A simple approach is to identify the problematic column and assign the correct data type, or use a safer conversion with try ... otherwise so that a single invalid value does not cause the entire query to fail.
 
try Number.From([ColumnName]) otherwise null
 
For large datasets, I would also check whether some columns containing identifiers, invoice numbers, barcodes, or account numbers should be stored as Text rather than Decimal Number.
 
 
 
 
 
 

If this response was helpful in any way, I’d gladly accept a kudo.
Please mark it as the correct solution. It helps other community members find their way faster.
Connect with me on LinkedIn

Thank you so much, it works like a magic 🙂 Number.From([ColumnName]) otherwise null

Helpful resources

Announcements
FabCon and SQLCon Barcelona 2026

FabCon & SQLCon – Barcelona 2026

Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.

Fabric Community Sticker Design Challenge Barcelona Carousel

Fabric Community Sticker Challenge - Barcelona 2026

If you love stickers, then you will definitely want to check out our community sticker challenge, Barcelona edition!

July Power BI Update Carousel

Power BI Monthly Update - July 2026

Check out the July 2026 Power BI update to learn about new features.

Power BI DataViz World Championships carousel

Power BI DataViz World Championships - June 2026

A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.