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jragan
Frequent Visitor

Fabric - Combine Multiple Tables into One

We have a Fabric notebook that integrates with an external LMS to create different tables containing user data with similar schemas. I now want to combine the tables into one, taking select columns and performing various conversions across them to the output. I have the SQL written to do everything I need (but I don't have to use SQL) but since Fabric is very visual it doesn't look like there is any kind of a "just run this SQL" kind of transform I can use anywhere... What would be the best way to achieve this?

1 ACCEPTED SOLUTION
v-tangjie-msft
Community Support
Community Support

Hi @jragan ,

 

In Microsoft Fabric, a data warehouse provides a relational database for large-scale analytics. Unlike the default read-only SQL endpoint for tables defined in a lakehouse, a data warehouse provides full SQL semantics.

Please refer: mslearn-fabric (microsoftlearning.github.io)

 

In addition, Apache Spark can also be used in conjunction with laptops to work with SQL data.

Please refer: mslearn-fabric (microsoftlearning.github.io)

 

Best Regards,

Neeko Tang

If this post  helps, then please consider Accept it as the solution  to help the other members find it more quickly. 

View solution in original post

1 REPLY 1
v-tangjie-msft
Community Support
Community Support

Hi @jragan ,

 

In Microsoft Fabric, a data warehouse provides a relational database for large-scale analytics. Unlike the default read-only SQL endpoint for tables defined in a lakehouse, a data warehouse provides full SQL semantics.

Please refer: mslearn-fabric (microsoftlearning.github.io)

 

In addition, Apache Spark can also be used in conjunction with laptops to work with SQL data.

Please refer: mslearn-fabric (microsoftlearning.github.io)

 

Best Regards,

Neeko Tang

If this post  helps, then please consider Accept it as the solution  to help the other members find it more quickly. 

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