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Qualitis is a data quality management platform that supports quality verification, notification, and management for various datasource. It is used to solve various data quality problems caused by data processing.
Based on Spring Boot, Qualitis submits quality model task to Linkis platform. It provides functions such as data quality model construction, data quality model execution, data quality verification, reports of data quality generation and so on.
At the same time, Qualitis provides enterprise-level features of financial-level resource isolation, management and access control. It is also guaranteed working well under high-concurrency, high-performance and high-availability scenarios.
Define Data Quality Model
Supports data quality model below:
1.Model of single table.
2.Model of multi-table.
At the same time, Qualitis presets multiple data quality verification templates, including common checks such as null check, blank check, number check, enumeration check and so on, which simplifies data quality model definition.
Data Quality Model Scheduling
Supports data quality model scheduling.
Data Quality Report
Supports generating data quality reports.
Log Management Supports management of data quality task.
Abnormal Data Management
Supports abnormal data storage, which can quickly locate problems.
Workflow needs DataSphereStudio.
Administrator console provided.
And it also supports personnel management, access control management, privilege control management, metadata management and so on.
Supports generating data quality reports with optional latitude.
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Linkis is under the Apache 2.0 license. See the LICENSE file for details.
Because the front-end code of Qualitis is FES, a front-end framework developed by WeBank, but the FES framework is not currently open source, so the front-end code of Qualitis is not open source for the time being. We will promote Qualitis's front-end open source as soon as possible. We are very sorry about this.
You can download the source code and unzip web/app/src/main/resources/static/static.zip to get the compiled front-end code, or use it directly by downloading the release.
：Code submit frequency
：React/respond to issue & PR etc.
：Well-balanced team members and collaboration
：Recent popularity of project
：Star counts, download counts etc.