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

Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started

Helper III
Helper III

How do you hand off a dashboard connected to Amazon Athena to a client?

I'm developing a dashboard for a client on Power BI and their data is being connected through Amazon Athena. I just went through the lengthy (and honestly really poorly documented) process of connecting to Athena, but now I'm wondering how exactly I'm supposed to hand over everything to client once the project is done.


I had to install the ODBC driver and used the Athena 'Get Data' option to load the data. So I'm wondering, if my own machine is involved in this process somehow, what will that mean for when I hand this over to the client? Will they need to install the ODBC driver as well? I'm not really looking for instructions right now, just a general idea of what I will be doing after the development is done. 


Sorry this is my first Power BI dashboard (my first client dashboard as well), so I'm new to all this. Thank you in advance!

Super User
Super User

@DaxPadawan , First of all, check on the Power BI Service check does it require one premise gateway of simple work without that? Most of the cloud sources should work without an on-premise gateway. of it requires an on-premise gateway, the customer needs to do the same step from a machine having a gateway and then publish the file.

Hi @amitchandak , how would I go about checking if it requires an on-premise gateway? 

Helpful resources

Europe Fabric Conference

Europe’s largest Microsoft Fabric Community Conference

Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.

Power BI Carousel June 2024

Power BI Monthly Update - June 2024

Check out the June 2024 Power BI update to learn about new features.

RTI Forums Carousel3

New forum boards available in Real-Time Intelligence.

Ask questions in Eventhouse and KQL, Eventstream, and Reflex.