| commit | 6784dc047c1a2904b4f752a6e9538194f67a1d5a | [log] [tgz] |
|---|---|---|
| author | chitralverma <chitralverma@gmail.com> | Thu Jan 16 15:20:21 2020 +0800 |
| committer | wankunde <wankunde@163.com> | Thu Jan 16 15:20:21 2020 +0800 |
| tree | f3047e0ce04a0c1a52aefa20727a8b082ce6b7d1 | |
| parent | 15304da715a74bef00d337b7fff4fc526f87b1bf [diff] |
[GRIFFIN-317] Define guidelines for Griffin Project Improvement Proposals (GPIP) **What changes were proposed in this pull request?** Taking inspiration from Apache Spark, this ticket aims to define guidelines for Griffin Project Improvement Proposals (GPIP). The purpose of a GPIP is to inform and involve the user community in major improvements to the Apache Griffin codebase throughout the development process, to increase the likelihood that user needs are met. A GPIP aims to discuss the design and implementation of major features and changes in a collaborative manner. These major features must not be small/ incremental/ wide-scoped, as these features can be resolved by normal Jira process. **Does this PR introduce any user-facing change?** No **How was this patch tested?** Not Applicable Author: chitralverma <chitralverma@gmail.com> Closes #563 from chitralverma/griffin-pip-template.
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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