I think there is a trend towards using SQL to do the T part of ELT. For example, see the rise in popularity of dbt. Analysts are often limited by the data that's in the warehouse already. Instead of asking a data engineer or developer to do something so that more data gets pushed to the warehouse, I wanted to be able to pull it in myself.<p>Because of that, I'm starting an open source project, WebCrepe, to empower analysts to pull data directly into their databases using SQL. The idea is that we pair a database extension with a web app to enable searching the internet and pulling in structured data. It's really early right now. I have a docker-compose file you can use to spin up a postgres database and the backend. I still need to write some better documentation on how to write queries but it's basically using the advanced google search language.<p>I'm interested in analytics folks that have use cases I can build out and engineers interested in working on it. If there is any interest then I'll write up better docs and build more functionality.