> My experience is that monitoring data quality is still an under-appreciated discipline.
We agree with this a lot, we found there are often a lot of unknown unknowns that drive data issues, and a lot of teams aren’t sure of where to start. It’s why we’re spending so much time on trying to make relevant tests in Hubble that are easy to set up and use (and then let users create custom tests once they get the hang of it).
Great point on the distribution, we do think being close to the data warehouses is really important for us, most teams already have one set up, but don’t know if what’s inside it is correct or useful. We’re looking to get set up on their marketplaces soon!
It sounds super relevant, we’d love to hear more - you can get me at hamzah[at]gethubble.io
This was the same pain point we had when we saw how good the tools were for testing our software vs our data.
It's not open source but we can deploy on-prem (or cloud-prem more accurately) pretty easily. We’re also going to setup as an add-on available through AWS marketplace. Feel free to shoot me an email if you want to see if this can work for you hamzah[at]gethubble.io
A lot of the points around efficiency of traditional farming vs vertical farming are valid points. Over time however, you would expect vertical farms to catch up to the level of sophistication of traditional ag. The two practices are not like for like and shouldn't be compared as such - vertical farming is still in the 80:20 phase of development where as traditional agriculture is now in the hyper optimisation phase after 000s of years squeezing for incremental improvements. The primary benefits of urban vertical farming come from things like:
- Reduced transportation costs and emissions to people buying them due to being located close to urban centres
- No dependency on natural climate/weather, you can never have a bad yield!
- No need for pesticides that can get into the water table and damage local environments
- Allows for high accuracy estimations of yields that can build better forecasting models for supermarkets etc.
We agree with this a lot, we found there are often a lot of unknown unknowns that drive data issues, and a lot of teams aren’t sure of where to start. It’s why we’re spending so much time on trying to make relevant tests in Hubble that are easy to set up and use (and then let users create custom tests once they get the hang of it).
Great point on the distribution, we do think being close to the data warehouses is really important for us, most teams already have one set up, but don’t know if what’s inside it is correct or useful. We’re looking to get set up on their marketplaces soon!
It sounds super relevant, we’d love to hear more - you can get me at hamzah[at]gethubble.io