Ask HN: Data Catalog with SQL-To-Text. Will it help business users?
Hi there, my name is Igor.
I am testing different ideas in data governance space.
Sometimes business users have problems with data trust - a dashboard looks strange and they don't know whether it's a technical problem or a business one. They want to understand, how particular metric is calculated. Usually, these metrics are calculated via SQL, so I think SQL-To-Text might be usefull here to automatically generate descriptions and explanations for dashboards, reports, etc.
Do you think it's a big and important problem which is worth solving? Will natural language processing (SQL-To-Text) really help here?
Any thought are welcome :)
4 comments
[ 3.7 ms ] story [ 14.2 ms ] threadSimple SQL statements are pretty well self-documenting.
Where things get hard to explain is in:
Those are just off the top of my head. I'm sure there are several other sources of pain.The other big question is - why do you want to devote your time and effort to it? I don't want to discourage you. But I don't see any real path to a marketable product here, particularly not as a standalone product.
> The other big question is - why do you want to devote your time and effort to it? I don't want to discourage you. But I don't see any real path to a marketable product here, particularly not as a standalone product.
This is a really good question, that's why I am collecting feedback on the idea :)
I've been thinking about building data catalog product, but it seems there are so many of them out where. So I thought I shoud somehow make if diffirent (and better), that's why I came up with SQL-To-Text idea.
Probably, you are right, I also don't see it as a standalone product. Perhaps, it can be a feature in data catalog / lineage product.
May be you have some suggestions where should I dig in data governance space?
Would really appreciate it :)
I guess my larger point was that explaining SQL statements replicates much of the work that query optimizers do. And even they don't always get it right. It's a hard problem.
If you want a hard problem with potential for a marketable product, look into data cleaning.