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Asokan
Contributor III
Contributor III

How to connect Qliksense with Amazon sagemker

I am using Qlik Sense Client server November 2024 version.  How can I connect to an Amazon SageMaker notebook using the REST API connector? Could you please provide the steps and any related documentation? Thank you.

1 Solution

Accepted Solutions
Rahul_123
Partner - Contributor
Partner - Contributor

Kindly find the attached pdf . feel free if not get your expected result.

thank you.

View solution in original post

3 Replies
Rahul_123
Partner - Contributor
Partner - Contributor

Kindly find the attached pdf . feel free if not get your expected result.

thank you.

Rahul18
Contributor II
Contributor II

Step 1: Ensure Amazon SageMaker Endpoint is Ready

Step 2: Set Up a Qlik REST Connection

Step 3: Integrate into Your Load Script

Step 4: Use as Chart Expression (Optional)

Step 5: Documentation & Examples

Asokan
Contributor III
Contributor III
Author

Hey Rahul, I am encountering an error after following the document. Can you suggest the changes?The error occurs when I test the connection in Qlik sense I am getting 403 forbidden connection. The way I have everything set up is I zipped my code files into a lambda function which is being invoked by the API gateway. The gateway required the key authentication. When I test the API gateway in AWS it works as expected but the API endpoint is private so can only be called from inside the same VPC. Qlik sense enterprise is run  through AWS in the same region as my API but is behind a private internal load balancer and is using a private IP address so it also can only communicate with services in the same VPC. What I have assumed since I am getting an error is that they have different VPC's and need some type of connection between them, but I have not been able to confirm what VPC Qlik sense is run from. Thank you! 

Step 1: Ensure Amazon SageMaker Endpoint is Ready

Step 2: Set Up a Qlik REST Connection--Still working on step 2, that's where the VPC permissions are stopping the connection. 

Step 3: Integrate into Your Load Script

Step 4: Use as Chart Expression (Optional)

Step 5: Documentation & Examples