stefanu

Joined 16 years ago

Karma
694
Submissions
73
Member since
Jan 17
Mentor, software engineer and data warehouse architect by day. Simulations, DSLs and complex systems by night. Author of Cubes Python OLAP (suspended).

Twitter: @Stiivi Github: https://github.com/stiivi/

[ my public key: https://keybase.io/stiivi; my proof: https://keybase.io/stiivi/sigs/5aNtNBrmNZFuMKkbG29vZXWVCkSteYgV7wYU6Wluc6A ]

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Recent submissions

Comment · 3 years ago
Comment · 3 years ago
Can confirm, MUJI notebooks are of a decent quality and they can handle fountain pens as well.

In addition to that, I gradually switched to their 0.38 pens of different colors. With fountain pen it was more stylish but impractical for multiple semantic(*) colours. With cheap, light, yet nice quality pens of different colours I can not only carry multiple ones, but have the same set at multiple places.

(Dark blue is body text/drawing, light blue is comment/secondary annotation, orange is action/process/message passing, green is data/metadata flow, …)

Comment · 5 years ago
Comment · 6 years ago
Comment · 7 years ago
Comment · 10 years ago
Author here. I admit, it has been more than a year since I made a significant contribution. It kind of correlates with change of my job – since I started to work with my current employer I didn't have almost any time to work on neither of Data Brewery projects directly. All I have is full notebook of new ideas and mailbox of unanswered feature requests and bug reports. It makes me sad, but honestly I don't know how to proceed.

I really enjoyed working on Data Brewery and I eventually will resume my work as there is a lot to do. It is just put aside on the back burner. In the meantime I might only hope that someone would volunteer to at least handle bug fixes. I'm open to grant access to the repositories.

Any suggestion how to prevent open-source project from dying is welcome.

Comment · 10 years ago
Author here. They are very independent. In short: Cubes is OLAP framework for abstracting aggregate queries on top of a datastore, mostly through SQL. You define a so called multi-dimensional model – how the analysts see the world, and cubes knows how to project it to underlying data structures, preferably star or snowflake table schemas.

Bubbles was meant to be data integration library (also known as ETL) – get data from multiple sources, transform them and produce tables that are more suitable for further analysis or reporting.

Comment · 12 years ago
I don't think we can equate complexity of a tropical thunderstorm to the complexity as described in the article. The discussed complexity arises from local connections (be it persistent bonds or repeated interactions) between entities. While interactions in the thunderstorm might seem "complex" to our mind, they are not "complex" from the point of view of "complex systems", they are rather "complicated".

Moreover thunderstorm network (if we consider the interactions of particles in the thunderstorm) is very transient. No feedback loops emerge in the system (to my understanding of thunderstorm). Also the system does not adapt to the surrounding environment through it's reconfiguration of internal connections. Thunderstorm lacks many properties of the complex systems discussed in the article.

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