CKAN VS kaggle-environments

We use Kubernetes as our deployment platform. Any feedback on one of these open source data catalogs ? - https://atlas.apache.org/#/ - https://opendatadiscovery.org/ - https://open-metadata.org/ - https://marquezproject.github.io/marquez/ - https://datahubproject.io/ - https://www.amundsen.io/ - https://ckan.org/ - https://magda.io/

Ckan

We publish all our data on the [Data Portal](https://data.nhm.ac.uk), a Museum project that's been running since 2014. Instead of MediaWiki it runs on an open-source Python framework called [CKAN](https://ckan.org), which is designed for hosting datasets - though we've had to adapt it in various ways so that it can handle such large amounts of data.

You could try Kaggle competitions, or participating in forecasting markets (as you stated) is another option. You don't need any specific skill set to be a forecaster, the rules of the bet are stipulated and from there it's just based on your ability to predict the outcome. You could also try your hand at investing in the stock market, or try and make money betting on sports games. If you're very good at this stuff I'm sure you can make a lot of money doing it. The thing to keep in mind is that generally video games are much much easier than real life

As to the specifics of your projects, that's up to you. Try browsing Kaggle; check out some of the work we have on The Pudding; check out some journalism examples to see what you can try to build on or improve.

There are literally hundreds... Google competitive programming

Kaggle: a platform for machine learning research where competitions are often hosted. There are A LOT of previous competitions you can look at and the prize funds associated with them. Companies like Zillow have participated, and you sincerely get the best practitioners applying their skills here.

You mentioned looking at Kaggle. Did you look at the competitions? Here's the webpage. There are many that are currently going on, and many from the past that you can draw inspiration from (or solve yourself).

Kaggle

If you simply mess around at home with Raspberry Pi projects, do Kaggle competitions for fun, work through Project Euler (seriously, a friend of mine did that and it lead to him switching careers from working as a doctor to landing a software developer job!), and whatever similar kind of stuff takes your fancy (watch Fireship to get lots of 100 second overviews of topics) will put you waaaaay ahead of someone who does High School "computing".

I am into AI research/related competitions [2] [3] based on real world applications too though and there I do prioritise maintaining proper logs, readability and all that jargon