How to create a table management app

0

Hello I have a table (currently in excel, but can be moved to s3, dynamo, aurora as required) and I need the easiest and quickest way possible to view and edit this table from a browser, with authentication.

Underlying use case is that a group of authenticated users will access this web app to view and update the table.

Which are the best options to evaluate? No-code/low-code are preferred

2 Answers
5

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.
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0

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.

answered 3 months ago

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