|author||chitralverma <firstname.lastname@example.org>||Sat Nov 30 13:01:30 2019 +0800|
|committer||wankunde <email@example.com>||Sat Nov 30 13:01:30 2019 +0800|
[GRIFFIN-304] Eliminate older contexts **What changes were proposed in this pull request?** As SparkSession is a direct replacement for SparkContext, SQLContext and HiveContext, there is no need to pass/ instantiate them. If any of the oder contexts are needed, they can be derived from SparkSession. This issue aims to eliminate dependency on older Contexts in favour of SparkSession. **Does this PR introduce any user-facing change?** No **How was this patch tested?** Griffin test suite. Author: chitralverma <firstname.lastname@example.org> Closes #557 from chitralverma/eliminate-older-contexts.
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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