|author||yuxiaoyu <firstname.lastname@example.org>||Mon Dec 07 11:59:14 2020 +0800|
|committer||wankunde <email@example.com>||Mon Dec 07 11:59:14 2020 +0800|
Support http remote conf In our production practice, many Griffin jobs run on yarn in cluster mode. We upload different conf files to the http file server and we also provide services that generate specific configurations based on different HTTP URLs. So we supports setting HTTP URLs as conf in submitting Griffin jobs in this PR. There is no effect on JSON or File conf mode. And it works well in our production environment for a long time. Author: yuxiaoyu <firstname.lastname@example.org> Closes #587 from XiaoyuBD/support_http_url_conf.
The data quality (DQ) is a key criteria for many data consumers like IoT, machine learning etc., however, there is no standard agreement on how to determine “good” data. Apache Griffin is a model-driven data quality service platform where you can examine your data on-demand. It provides a standard process to define data quality measures, executions and reports, allowing those examinations across multiple data systems. When you don't trust your data, or concern that poorly controlled data can negatively impact critical decision, you can utilize Apache Griffin to ensure data quality.
You can try running Griffin in docker following the docker guide.
Follow Apache Griffin Development Environment Build Guide to set up development environment.
If you want to contribute codes to Griffin, please follow Apache Griffin Development Code Style Config Guide to keep consistent code style.
If you want to deploy Griffin in your local environment, please follow Apache Griffin Deployment Guide.
For more information about Griffin, please visit our website at: griffin home page.
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See How to Contribute for details on how to contribute code, documentation, etc.
Here's the most direct way to contribute your work merged into Apache Griffin.