Inspiration
Great entourage, mentors/trackers and participants. It was especially inspiring solving the original problem in a non-standard way.
What it does
It offers a model of how to aggregate different kind of data considering the specifics of the company, region, and format of data.
How we built it
We have gone thought several iteration cycles in order to understand what works and what doesn't work the best.
Challenges we ran into
The main challenge consisted of trying to solve the problem right-away, which was a very rushed decision, we tried to dive directly into the practical part of the problem
Accomplishments that we're proud of
We stepped on the wrong path and then were able to turn back to another heuristic method to tackle this problem
What we learned
Managing to stop pursuing the wrong paths
What's next for BigData by Veridion TechEnergy
We would like to build a date infrastructure hosting all the logic described above for collecting spares data from multiple sources.
Built With
- nest.js
- node.js
- postgresql
- python
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