Search before asking
Motivation
DataVines is an easy-to-use data quality service platform that supports multiple metric.
https://github.com/datavane/datavines
- Datavines supports executing multiple metrics in one job.
- Datavines supports execution status dashboard and data quality report.
- Datavines supports plug-in extensions for components such as metric, data sources, error data storage, and execution engines.
- Jdbc engines can be used to execute data quality tasks instead of solely relying on Spark engines.
Design Detail
Sript mode
-
config data quality job in datavines

-
get the job config scipt file
-
Add datavines job node in workflow, and configure the script

API Mode
-
config data quality job in datavines

-
get the jobId
-
Add datavines job node in workflow, and configure the datavines api address and jobId
Compatibility, Deprecation, and Migration Plan
No response
Test Plan
No response
Code of Conduct
Search before asking
Motivation
DataVines is an easy-to-use data quality service platform that supports multiple metric.
https://github.com/datavane/datavines
Design Detail
Sript mode
config data quality job in datavines

get the job config scipt file
Add datavines job node in workflow, and configure the script

API Mode
config data quality job in datavines

get the jobId
Add datavines job node in workflow, and configure the datavines api address and jobId
Compatibility, Deprecation, and Migration Plan
No response
Test Plan
No response
Code of Conduct