Today I will demonstrate a very simple way to implement the data extraction from Excel/csv file to your SQL database in bubble.io.
Hi everyone, today I will demonstrate a very simple way to implement the data extraction from Excel/csv file to your SQL database in bubble.io.
This workflow uses AWS S3/Lambda function as a connecting bridge which is both time efficient compared with manual input and cost efficient if you’re using AWS free tier services.
The only cost would be installing a plugin in bubble called AWS File Uploader ($35) and that’s all. Amazing, right?
Let’s now dig in and see how it works.
This is actually an egg and chicken problem. Usually it happens when you find out that Excel/Access can no longer serve your purpose of managing and retrieving data promptly and that’s when you start to build your relational (and/or) non-relational database.
For example, as a senior project manager overlooking the global or regional market, using Excel as a standard template for distribution and extracting data from it would be very helpful especially when you have project managers all over the world and you want to centralize the project information and monitor the progress from a holistic view.
Project Database for test use
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