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License: Creative Commons Attribution 4.0 International
Collecting thoughts about data versioning
License: Creative Commons Attribution 4.0 International
Need some update for the dat-protocol, that at the time that the article was written had not evolved enough, today it is bigger and more active. Also there is a dat broken link.
This may be interesting to you:
I've also done work on a tree based data structure intended to represent arbitrary structures and allow fast structural editing: https://github.com/MatrixAI/js-tree-order-index It's not finished and is based on the paper dynamic hierarchal trees. http://www.vldb.org/pvldb/vol8/p986-finis.pdf
The same author has also got an interesting version tree data structure as well.
I'm interested in the key-value conclusion. If the data is highly structured, e.g. tabular or hierarchical, then I imagine that a key might be "row x column y", or for (e.g. JSON) document data, a key might be "person.addresses.home.street_number". This could potentially make the storage quite inefficient/expensive.
I think that as long as
I also wonder whether mentioning the "Command/Query Responsibility Segregation" (CQRS) and Event Sourcing patterns in the Review of Existing Tools and Approaches might be useful.
https://en.wikipedia.org/wiki/Command%E2%80%93query_separation
https://martinfowler.com/eaaDev/EventSourcing.html
These can be useful when it is important to be able to undo or reconstruct sequences of operations.
I haven't read through all of the information in the README, but I came across this repo while trying to locate a project I had looked at a few weeks ago and forgot to bookmark.
It sounds like that project might be a good option to include in this list: https://github.com/attic-labs/noms
DVC.org is meant for data versioning which is almost similar to Git-SCM, we can add that in existing data-versioning tools in Readme.md
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