[Heavy release] Qualitis 0.8.0 version released
The long-awaited Qualitis 0.8.0 is here!
Qualitis 0.8.0
Qualitis is an open source data quality management system of WeBank, which is used to solve various data quality problems in the process of business system operation, data center construction and data governance. It provides a set of unified processes to define and test the quality of data sets and report problems in a timely manner.
Open source link:
https://github.com/WeBankFinTech/Qualitis。
Feature enhancement
1. Optimize and refactor the UI, and open source all front-end source code;
2. Refactor the front-end and back-end logic of the "Rule Query" interface, the rule query result display is changed from project information to table information, and specific fields are associated;
3. Added the management function of rule templates, except for the default template initialized by the system, custom rule templates can be added;
4. Complete the docking with the latest open source DataSphereStudio 0.9.0, mainly for task blocking in task execution requests and import and export functions in publishing;
5. Rich user manuals.
Bug fix
1. The result of the custom rule aggregation function is 1;
2. The status refresh problem of multi-task execution project;
3. Login and logout issues.
About Qualitis 0.8.0
This release of qualitis 0.8.0 version. Prior to this, version 0.7.0 had many limitations in the workflow docking with DataSphereStudio 0.9.0 in the WeDataSphere community . Now the workflow docking function is improved, mainly import and export, node update, and tasks. Blocking, etc. In addition, the UI interface is more standardized and mature, adding project tags, creating and modifying records, and reconstructing the "rule query" interface for data source indexing rules.
In particular, it is no longer only the default rule template that the system initializes, and the system administrator can add custom rule templates.
There are still many important functions to be developed in the future, such as MySQL data source, docking with the flexible and universal execution engine of the WeDataSphere community, etc. I hope to contribute with community partners.