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Course Outline
Overview
- Fundamentals of data stewardship
- Responsibilities of data stewards
- Introduction to Talend Data Stewardship
Initial Configuration
- Interface navigation
- Work environment setup
- Integration with the Talend product suite
Data Quality Management
- Core principles of data quality
- Identification of data quality issues
- Data cleansing procedures in Talend Data Stewardship
Task Administration
- Creation and management of tasks
- Assignment of duties to data stewards
- Workflow administration
Collaboration and Workflow Adaptation
- Collaborative capabilities within Talend Data Stewardship
- Customization of workflows
- Recommendations for effective collaboration
Advanced Features and Methodologies
- Complex data cleansing techniques
- Management of intricate data quality scenarios
- Automation of data stewardship processes
Monitoring and Reporting
- Data quality monitoring
- Reporting functions in Talend Data Stewardship
- Analysis of data stewardship metrics
Case Studies and Operational Applications
- Analysis of case studies
- Implementation of Talend Data Stewardship across various sectors
- Resolution of data stewardship challenges
Best Practices and Governance Frameworks
- Development of data governance policies
- Operational best practices for data stewards
- Ensuring compliance and data security protocols
Conclusion and Future Actions
Requirements
- Fundamental familiarity with data governance principles
- Essential comprehension of database architectures and information processing workflows
Target Audience
- Data analysts
- Data managers
- Information technology specialists
14 Hours
Testimonials (1)
It's a hands-on session.
