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Duration 14 hours
Course Outline
Introduction
- Foundations of data stewardship
- Responsibilities of data stewards
- System overview of Talend Data Stewardship
Initial Configuration
- Interface navigation
- Environment setup procedures
- Integration with the broader Talend portfolio
Data Quality Oversight
- Core principles of data integrity
- Identification of data quality anomalies
- Data remediation within Talend Data Stewardship
Task Administration
- Creation and lifecycle management of tasks
- Allocation of duties to data stewards
- Workflow governance
Collaboration and Workflow Tailoring
- Collaborative capabilities in Talend Data Stewardship
- Customization of operational workflows
- Best practices for effective interagency coordination
Advanced Features and Techniques
- Advanced data remediation methods
- Management of complex data quality scenarios
- Automation of data stewardship operations
Surveillance and Reporting
- Monitoring data quality metrics
- Reporting functions in Talend Data Stewardship
- Analysis of data stewardship performance indicators
Case Studies and Operational Applications
- Evaluation of case studies
- Deployment of Talend Data Stewardship across various public sectors
- Problem-solving strategies in data stewardship contexts
Best Practices and Governance
- Establishment of data governance frameworks
- Best practices for data stewards for government use
- Ensuring regulatory compliance and data security
Summary and Future Actions
Requirements
- Fundamental knowledge of data management principles
- Basic familiarity with database systems and data processing workflows
Target Audience
- Data analysts
- Data managers
- Information technology specialists
Testimonials (1)
It's a hands-on session.
