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Hello Diego C,
For a quick and easy solution within AWS, look at Amazon Honeycomb (https://www.honeycomb.io/aws). It's a no-code option that lets you upload your Excel table (or connect to S3) and build a user-friendly web app for viewing and editing. It also offers built-in user authentication.
Create Honeycomb Account: Head to https://www.honeycomb.io/aws and sign up for a free account.
Import Your Table:
- From Excel: Click "Datasets" and choose "Upload Dataset." Select your Excel file and follow the import wizard.
- From S3: In "Datasets," choose "Connect to Warehouse." Select "Amazon S3" and configure the connection details to your S3 bucket containing the Excel file.
Build Your App:
- In "Datasets," click on your uploaded table.
- Navigate to "Apps" and choose "Build an App."
- Use the drag-and-drop interface to design your app's layout with tables, charts, or other elements.
Enable User Authentication:
- In "Apps," select your newly created app.
- Go to "Settings" and find "User Management."
- Choose your preferred authentication method (e.g., email/password, social login). Configure access levels for different user roles.
Deploy Your App:
- Once satisfied with the design and settings, click "Deploy" in your app settings.
- Honeycomb will handle hosting, and you'll receive a link to share your secure table management app with authorized users.
Another option could be DataZone, which puts in place a data governance framework on top of redshift and glue catalog tables.
Since it’s a native aws service, it integrates nicely and provides you with a great UI, proper security, data governance workflows (publish, subscribe) and uses GenAi to derive metadata for your tables.
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