|author||wankunde <firstname.lastname@example.org>||Mon Sep 09 08:28:19 2019 +0800|
|committer||William Guo <email@example.com>||Mon Sep 09 08:28:19 2019 +0800|
[GRIFFIN-286] Remove spark-testing-base dependency jar Now we use spark-testing-base jar to test spark job in measure module, but this jar maybe conflict with the spark version(CDH spark version,spark AE) or scala version(few scala version with specified spark version). So I suggest removing the dependency of this package. Author: wankunde <firstname.lastname@example.org> Closes #531 from wankunde/remoteSparkTestBase.
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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