But if you do know what you're doing - like myself and many other engineers - you don't need hand holding.
I would not consider SES "shit" because it does not baby-sit you throughout the setup process. The documentation was solid, and I had a lot of freedom to customize a solution specific to my use case. Overall working SES has been an enjoyable experience.
But maybe my mind will change 1 billion emails later haha we'll see.
Can you elaborate on why SES is shit? I've been using it for about 6 months now to run a small newsletter and haven't experienced any issues with deliverability.
> You cannot browse the data structure without an active cluster
That's one of the reason's I'm interested in delta-rs [1], which has delta lake bindings for Python. Would love to read a delta lake table into a native python object without the need for spark.
You'd probably need some programming experience, or at least a general idea of how web development works. This dashboard template is front-end fluff that makes it simple for a developer to focus on the backend processes and allows them to pass resulting structured data to the client that's presented in pretty tables and charts.
There are multiple ways to accomplish your CSV challenge, depending on your backend structure, but one possible could be to use a tool such as the jQuery CSV plugin[1] to read your CSV files and convert them to Javascript objects. You could then render your HTML by iterating over the rows of that CSV in a <table> element. The Airframe source would provide all the the CSS needed to display your table in one of its pretty formats - would just be a matter of setting the table and its children's class attributes[2].