Forum Discussion
Connect AWS S3 with Power BI using Python
- 1 year ago
azeemsaifi
You’ll need to useboto3to connect to your S3 bucket.import boto3
import pandas as pd
from io import StringIO # or BytesIO for binary files like Excel# Set up AWS credentials (ideally, use IAM roles or environment variables)
aws_access_key = "YOUR_ACCESS_KEY"
aws_secret_key = "YOUR_SECRET_KEY"
bucket_name = "your-bucket-name"
file_key = "folder/yourfile.csv" # S3 object key (path)# Connect to S3
s3 = boto3.client('s3', aws_access_key_id=aws_access_key,
aws_secret_access_key=aws_secret_key)# Get the file object
response = s3.get_object(Bucket=bucket_name, Key=file_key)
data = response['Body'].read().decode('utf-8') # for CSV# Load to pandas
df = pd.read_csv(StringIO(data))
print(df.head())Did I answer your question? Mark my post as a solution! Appreciate your Kudos !!
Hi azeemsaifi,
Thank you for reaching out to the Microsoft Fabric Community Forum.
The solution shared by johnbasha33is spot-on for connecting AWS S3 to Power BI using Python.
- Run Python Scripts in Power BI Desktop – This guide details how to configure and execute Python scripts in Power BI, including setting up the Python environment.
If this information is helpful, please “Accept it as a solution” and give a "kudos" to assist other community members in resolving similar issues more efficiently.
Thank you.
Hi azeemsaifi,
I hope this information is helpful. Please let me know if you have any further questions or if you'd like to discuss this further. If this answers your question, please accept it as a solution and give it a 'Kudos' so other community members with similar problems can find a solution faster.
Thank you.