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Course Outline
Introduction
- Exploring the concept of data stewardship.
- The responsibilities and roles of data stewards.
- Overview of Talend Data Stewardship.
Getting Started
- Navigating the user interface.
- Setting up the working environment.
- Integrating with other Talend products.
Data Quality Management
- Core principles of data quality.
- Identifying potential data quality issues.
- Cleansing data using Talend Data Stewardship.
Task Management
- Creating and managing tasks.
- Assigning tasks to data stewards.
- Managing workflows.
Collaboration and Workflow Customization
- Collaborative features available in Talend Data Stewardship.
- Customizing workflows to fit specific needs.
- Best practices for effective team collaboration.
Advanced Features and Techniques
- Advanced techniques for data cleansing.
- Addressing complex data quality scenarios.
- Automating data stewardship processes.
Monitoring and Reporting
- Monitoring data quality in real-time.
- Generating reports in Talend Data Stewardship.
- Analyzing metrics related to data stewardship.
Case Studies and Real-world Applications
- Analysis of relevant case studies.
- Applying Talend Data Stewardship across various industries.
- Problem-solving strategies for data stewardship challenges.
Best Practices and Governance
- Establishing effective data governance policies.
- Best practices for data stewards.
- Ensuring compliance and data security.
Summary and Next Steps
Requirements
- Fundamental knowledge of data management concepts.
- Basic familiarity with database systems and data processing techniques.
Target Audience
- Data analysts.
- Data managers.
- IT professionals.
14 Hours
Testimonials (1)
It's a hands-on session.
