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manoj_0911
Advocate V
Advocate V

Creating Live Connection from Power BI Desktop to Customer's SQL Server DB on AWS

Creating Live Connection from Power BI Desktop to Customer's SQL Server DB on AWS

 

Hello Power BI Community,

 

I'm currently working on a project where I need to establish a live connection from Power BI Desktop installed on my laptop to a SQL Server database hosted on AWS, belonging to a customer. I would like to seek guidance on how to set up this live connection effectively.

 

Are there any specific configurations or settings I need to be aware of to ensure a smooth connection?

 

Thanks,
Manoj Prabhakar

2 ACCEPTED SOLUTIONS
amitchandak
Super User
Super User

@manoj_0911 , With SQL server you can connect with a Direct Query connection. You will need on-premise gateway, in case AWS ports are not opened.

 

Live connection is for

1. SQL Server analysis service

2. Azure Analysis Service

3. Power BI dataset

and Data is as good as what is refreshed on those datasets 

 

Direct Lake connection is for Fabric Lakehouse and Warehouse semantic Model

Share with Power BI Enthusiasts: Full Power BI Video (20 Hours) YouTube
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View solution in original post

Anonymous
Not applicable

Hi @manoj_0911 

 

Thanks for the reply from @amitchandak , please allow me to provide my additions:

 

Direct Query: It is a direct connection to the data source. Data will not be stored in the Power BI. Power BI only store metadata of data to obtain data. With this method, the model will be much smaller. 

For more details, you can read related document link:

DirectQuery in Power BI - Power BI | Microsoft Learn

 

Live connection: This method is roughly similar to Direct Query, but it connects with data sources that are modeling engines themselves. And it only supported for these data sources: Azure Analysis Services; SSAS tabular; SSAS Multi-Dimensional.

For more details, you can read related document link:

Solved: Difference between live connection and direct quer... - Microsoft Fabric Community

What's the difference between live connections and DirectQuery? - Power BI | Microsoft Learn

 

Best Regards,
Yulia Xu

 

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

3 REPLIES 3
amitchandak
Super User
Super User

@manoj_0911 , With SQL server you can connect with a Direct Query connection. You will need on-premise gateway, in case AWS ports are not opened.

 

Live connection is for

1. SQL Server analysis service

2. Azure Analysis Service

3. Power BI dataset

and Data is as good as what is refreshed on those datasets 

 

Direct Lake connection is for Fabric Lakehouse and Warehouse semantic Model

Share with Power BI Enthusiasts: Full Power BI Video (20 Hours) YouTube
Microsoft Fabric Series 60+ Videos YouTube
Microsoft Fabric Hindi End to End YouTube

Hi @amitchandak  Thank you your reply, can you please provide an table with detailed differences between live vs import vs direct query. I'm little confused between live and direct query

Anonymous
Not applicable

Hi @manoj_0911 

 

Thanks for the reply from @amitchandak , please allow me to provide my additions:

 

Direct Query: It is a direct connection to the data source. Data will not be stored in the Power BI. Power BI only store metadata of data to obtain data. With this method, the model will be much smaller. 

For more details, you can read related document link:

DirectQuery in Power BI - Power BI | Microsoft Learn

 

Live connection: This method is roughly similar to Direct Query, but it connects with data sources that are modeling engines themselves. And it only supported for these data sources: Azure Analysis Services; SSAS tabular; SSAS Multi-Dimensional.

For more details, you can read related document link:

Solved: Difference between live connection and direct quer... - Microsoft Fabric Community

What's the difference between live connections and DirectQuery? - Power BI | Microsoft Learn

 

Best Regards,
Yulia Xu

 

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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