For years I used a proprietary solution like Qlik Sense for the whole journey from data extraction to a finished dashboard (mostly on-prem). Going from raw data to a finished dashboard is a matter of days (not weeks/month) with one single tool (and maybe some scripts for supporting tasks). There is some „scripting“ involved for loading and transforming data, but if you already understand data models (and maybe have some sql experience) it is very easy. The Dashboard creation itself does not need any coding at all.just drag and drop and some formulas like sum(amount).

But this a standalone tool and it is hard to integrate it into your own piece of software. From my experience, software developers have a much more complicated view on data handling. Often this is just the complexity of their use cases, sometimes it is just a lack of knowledge of data preparation for analytics use cases.

Another part which complicates stuff greatly is the focus on use-cases involving cloud storage and doing all the transformations on distributed systems.

And it is often not clear what amount of data we are talking about and if it is realtime (streaming) data or not. There is a big difference in the possible approaches, if you have 6h hours to prepare data or if it has to be refreshed every second (or when new data arrives etc).

Long story short: Yes it is complicated to grasp. There is also a big difference if you use the data for normal analytics use cases in a company (mostly read only data models) or if you use the data in a (big tech) product.

I would suggest to start simple by looking into a „query engine“ to extract some data from somewhere and then doing some transformations with pandas/polars/cubejs for basic understanding. You will need some schedulers and orchestration on the way forward. But this will be dependent on the real use cases and environment you are in.

A lot of what you say is true for doctors in their first 5-10 years into their career, when employed in a hospital.

This not true for doctors which reached a certain level like „oberarzt“ and above.

This is especially not true for doctors with their own „office“ (business).

Yeah people may cry, but normally it is very hard to bring a doctor to justice even when there are quite obvious mistakes or misconduct. They are very well protected, suing a doctor not seldom takes 10 years from start to verdict, with a lot of legal costs involved.

And last but not least, it is a very secure profession. You must be really really stupid to end up jobless. So you have 5-10 years with a „ok“ salary compared to the power you invest. And 20-30 Years with a very good to exceptional salary, especially when compared to the broader population.

But in reality there is not an equal distribution between these 3 groups. And there is a high probability that the user base is not as limited as in your pseudo factual simplification. (journalists come to mind for example etc. pp)

For example my blog/website operates theoretically in all countries on the world ...still it's only me needed. I think you get the point.

I think a measure like active users is more related to the size than number of countries and coins/tokens ...

But it is true I focused a too much on the platform itself etc. They have a lot stuff going on around it for legal, kyc, regulations, Marketing etc ... The operation of the platform itself is probably not the biggest part of their business anymore.

But coinbase for example, does it with less than 5000 ... But probably not so easy to compare

I think the name "threads" is the worst you can come up with for an app that will be used world wide. Outside of the U.S. there is a lot which can go wrong in spelling and pronunciation. maybe inside too, idk ;-)

1. threads is very similar to threats (the word threat is much more common)

2. pronunciation of "th" is in a lot of languages a complicated thing, but "thr" is even worse

3. I guess for a lot of people outside the U.S. it is not clear if it is pronounced like in "treat"

4. It is not a very common word my experience

From a company like meta I would expect more thoughtful product naming.

It's hard for me to distinguish what is factual and what is "only" evangelism ... Additionally it's probably a lack of knowledge on my side, since I only worked with git. So examples would be very helpful to make this topic more accessable.

My opinion: In the end in trading no community will help you to become profitable. Communities can be helpful for bloody beginners...but the rest of the journey, you are on your own, and all this social stuff and pseudo positive blabla will distract you from resolving the real issues. Trading is a numbers game, not a social one ...

In europe(DACH) there is something called "drg" for example.

For example here(switzerland)

https://www.bag.admin.ch/bag/en/home/versicherungen/krankenv...

(Hard to find ressources in english)

The system is different because it's designed to have a pricing system with health insurances and also far away from perfect. But the treatments etc are standardized.

In the end the GPL resolves these issues and enforces stuff. Obviously most companies don't want that for different reasons.

Without GPL, as a company you take the code and if neccessary at some point, you employ somebody to further develop it in house (when maintainer gives up or something).

Why pay and share and give that advantage to your competitors?

The key to open source is when governments develop policies for using open source instead of paying licenses for proprietary software and maybe pressure from customers to companies which use open source software.

But average people don't know and don't care at all about open source ... :(