This release is a pre-release and may not be stable for production use.
Versatile Data Kit SDK Core
To build or contribute, see CONTRIBUTING.md.
Versatile Data Kit enables data engineers, data scientists and data analysts to develop, deploy, run, and manage data processing workloads (called "Data Job"). A "Data Job" enables Data Engineers to implement automated pull ingestion (E in ELT) and batch data transformation into a database (T in ELT).
Build
Make sure you have python3 installed. It's strongly recommended to use a virtual environment, and also to use a python installer like pyenv or conda. We recommend pyenv.
CICD is managed through gitlab-ci.yml. You can see how to build, run tests, deploy there best. All related CICD scripts are in /cicd/ folder.
Installation
All Versatile Data Kit SDK Core releases can be found in PyPI.
Install Versatile Data Kit SDK Core with:
pip install vdk-core
This will install console application called vdk
Then run help to see what it can do:
vdk --help
Plugins
Plugins are a powerful way of extending or adapting Versatile Data Kit for all kinds of use-cases. For more information see Plugins doc.
Public interfaces
Any backwards compatibility guarantees apply only to public interfaces. Public interfaces are modules and packages defined or imported in vdk.api.*. unless the documentation explicitly declares them to be provisional or internal interfaces. Anything else is considered internal. All public interfaces (classes or methods) must have documentation.
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