|author||tusharpatil <tus>||Mon Dec 16 21:22:20 2019 +0800|
|committer||wankunde <firstname.lastname@example.org>||Mon Dec 16 21:22:20 2019 +0800|
Enum based configs **What changes were proposed in this pull request?** All the predefined: `DQTypes, DSLTypes, FlattenType, OutputType, ProcessType, SinkType and WriteMode` are compared with config using a regex-based approach. This will make unnecessary overhead in terms of execution time and maintainability. This PR uses a predefined enum based approach than regex-based to provide the same functionality. **Does this PR introduce any user-facing change?** No **How was this patch tested?** Griffin test suite. Author: tusharpatil <tus> Author: tusharpatil20 <email@example.com> Closes #558 from tusharpatil20/enum-based-configs.
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.
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