Skip to main content

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.

Metadata

Release files for vdk-core 0.3.564881002

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for vdk-core 0.3.564881002
File Size Uploaded
vdk-core-0.3.564881002.tar.gz 89.8 kB Details

Release files / vdk-core-0.3.564881002.tar.gz

Download URL vdk-core-0.3.564881002.tar.gz
Size 89.8 kB
Tags Source
SHA-256 checksum
How to use checksums
3d45a2ecfba920fe365c464c6a8590530a945db58c855f26f68235a748e580d4
BLAKE2b-256 checksum
How to use checksums
f4b65f1eed31230775e44f7a4a9d4a3376832a3c8b5101ef3a8409e327e4c477
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release history Release notifications | RSS feed

This release

0.3.564881002 This release

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page