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Data Quality Management and Data Catalog
Get advice from DUC Technologies experts on how to proactively address any data issues before they appear in reports.
Monitoring the quality of downloaded data in real time throughout the entire data movement lifecycle
Visualization of data quality metrics
Real-time data quality control
Automatic notifications to managers about reporting issues
Data lineage construction and cataloging
scientific
approach
data-driven
guarantee
12 months
Our projects
Data quality management system
development framework
development framework
Analysis
Implementation
Support
Analysis
01/03
1. Identifying key business needs and objectives that can be addressed through data quality management and cataloging
2. Analysis of existing data, business processes and data storage systems
3. Identifying data sources and a single point of truth, metadata
4. Selecting the architecture of Data Catalog solutions and data quality management tools
Implementation
02/03
1. Deploying a data catalog and integrating with sources, loading metadata
2. Filling the data catalog
3. Deployment of a data quality management system and integration into the ETL data processing pipeline
4. Setting up a role model
Support
03/03
1. Supporting users when working with the Data Catalog and Data Quality Management System
2. Monitoring the quality of data and data processing processes and the Data Catalog
3. Development and updating of the data quality management system and the Data Catalogue, taking into account the changing requirements and needs of the company
Architectural Solution
Data Quality Framework
Data Quality Framework
Озеро данных
Orchestration of data quality checks
Architectural Solution Data Quality Framework
Technology stack
Data quality management systems and data catalogs
Orchestration and Lineage
Visualization for checks, monitoring, and alerts
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