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Course Outline
Introduction
- Foundations of data stewardship.
- The responsibilities and role of data stewards.
- Overview of the Talend Data Stewardship platform.
Getting Started
- Navigating the user interface.
- Configuring your working environment.
- Integrating with other Talend solutions.
Data Quality Management
- Core principles of data quality.
- Identifying potential data quality issues.
- Cleansing data using Talend Data Stewardship.
Task Management
- Creating and overseeing tasks.
- Assigning responsibilities to data stewards.
- Managing workflow processes.
Collaboration and Workflow Customization
- Leveraging collaborative features in Talend Data Stewardship.
- Tailoring workflows to specific needs.
- Best practices for effective team collaboration.
Advanced Features and Techniques
- Advanced methods for data cleansing.
- Addressing complex data quality scenarios.
- Automating data stewardship processes.
Monitoring and Reporting
- Monitoring data quality metrics.
- Generating reports in Talend Data Stewardship.
- Analyzing key data stewardship indicators.
Case Studies and Real-world Applications
- Analyzing real-world case studies.
- Applying Talend Data Stewardship across various industries.
- Solving common challenges in data stewardship scenarios.
Best Practices and Governance
- Establishing robust data governance policies.
- Implementing best practices for data stewards.
- Ensuring compliance and data security.
Summary and Next Steps
Requirements
- Fundamental knowledge of data management concepts.
- Basic understanding of database systems and data processing.
Target Audience
- Data analysts.
- Data managers.
- IT professionals.
14 Hours
Testimonials (1)
It's a hands-on session.
