Welcome to diepvries
, a Python library to generate
Data Vault SQL statements.
diepvries
takes as input a Data Vault model (a list of hubs, links and satellites tables),
and generates SQL statements to load data in those tables. For that purpose, it relies
on naming conventions for tables and columns. There are 2 ways to feed a Data Vault
model to diepvries
:
- Either declaratively, by enumerating tables and columns;
- Or automatically, by building these structures using the database metadata.
At the moment, diepvries
is only compatible with
Snowflake.
diepvries
works with Python 3.8, 3.9, and 3.10.
diepvries
is distributed as a Python wheel on PyPI. In a virtual environment, you can
grab the latest version by running:
pip install diepvries
and in a Python console:
from diepvries.hub import Hub
help(Hub)
If you see the help page for the Hub
class, you're all set! 🚀
The best way to start using diepvries
is by reading
its documentation website. You'll find a tutorial, a
list of naming conventions, and more!
Want to fix a bug, improve the docs, or add a new feature? That's awesome! Please read the contributing document.
You can find the changelog of this package in
CHANGELOG.md
.