https://github.com/datopian/tech.datopian.com
Our tech materials including our devlog. Powered by Flowershow https://flowershow.app/
https://github.com/datopian/tech.datopian.com
Last synced: 5 months ago
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Our tech materials including our devlog. Powered by Flowershow https://flowershow.app/
- Host: GitHub
- URL: https://github.com/datopian/tech.datopian.com
- Owner: datopian
- Created: 2020-08-28T15:30:41.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2025-04-18T12:58:27.000Z (10 months ago)
- Last Synced: 2025-07-02T11:13:46.585Z (7 months ago)
- Homepage: https://tech.datopian.com/
- Size: 15.5 MB
- Stars: 8
- Watchers: 8
- Forks: 6
- Open Issues: 6
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Metadata Files:
- Readme: README.md
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README
# Datopian Tech 👩💻
## We are experts in data management and engineering
## This is an overview of our technology
## Data Management Systems
A [Data Management System (DMS)][dms] is a _framework_. It can be used to create a variety of _solutions_ such as [Data Portals][], [Data Catalogs][], [Data Lakes][] (or Data Meshes) etc. We have developed two DMS stacks that share a set of underlying core components:
- [CKAN][]: the open source data management system we created in 2007 and that we continue to develop and maintain. The main information on CKAN is at https://ckan.org/. Here we have some specific notes on how we develop and deploy CKAN as well as our thoughts on the [next generation of CKAN (v3)][v3].
- [DataHub][]: a simpler version of CKAN focused on SaaS platform at DataHub.io. DataHub and CKAN v3 share many of the same core components.
[data portals]: /dms/data-portals
[data lakes]: /dms/data-lake
[data catalogs]: /dms/data-portals
[dms]: /dms
[CKAN]: /dms/ckan
[datahub]: /dms/datahub
[v3]: /dms/ckan-v3
[[dms|Read more about DMS »]]
## Frictionless
The Frictionless approach to data. See https://frictionlessdata.io/
Our team created this whilst at Open Knowledge Foundatioin and continue to co-steward it.
## OpenSpending
https://openspending.org/
## Research
- [Data Frames and what would a JS data frame library look like](/dms/dataframe)
- [Dataset Relationships](/dms/relationships)
## Blog
- [Devlog - our informal blog »](/log)
- [Notebook -- our informal blog »](/notebook)