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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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Qualitis is under the Apache 2.0 license. See the LICENSE file for details.
The front-end code of Qualitis adopts the front-end framework FES self-developed by WeBank. The FES framework is currently open source, and the source code can be downloaded through the ui folder in the root directory. Of course, it can also be used directly by downloading the release. The default front-end compilation package is installed in Qualitis-x.x.x/conf/static.
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