Python API of Drunken Data Quality.
https://github.com/FRosner/drunken-data-quality
Description
DDQ is a small library for checking constraints on Spark data structures. It can be used to assure a certain data quality, especially when continuous imports happen.
Note
This project has been set up using PyScaffold 2.5.6. For details and usage information on PyScaffold see http://pyscaffold.readthedocs.org/.
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pyddq-5.0.0.tar.gz
(7.6 kB
view details)
File details
Details for the file pyddq-5.0.0.tar.gz.
File metadata
- Download URL: pyddq-5.0.0.tar.gz
- Upload date:
- Size: 7.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
63638092f889e33eb125047689591aa7ff2fff930c6328d6d93910adccb49191
|
|
| MD5 |
d5f3be82d2b839641e4c09736d699974
|
|
| BLAKE2b-256 |
e376058135b91142547918b48751a56f4f841d818741254b5a2f81c1b9369225
|
