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Versatile Data Kit SDK Core

Project description

Versatile Data Kit SDK Core

monthly download count for vdk-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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