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Course Outline
Introduction
- Concepts of data stewardship
- The function of data stewards
- Overview of Talend Data Stewardship
Getting Started
- Exploring the interface
- Configuring your environment
- Integration with other Talend products
Data Quality Management
- Core principles of data quality
- Identifying potential data quality issues
- Data cleansing procedures in Talend Data Stewardship
Task Management
- Creating and overseeing tasks
- Allocating tasks to data stewards
- Managing workflows
Collaboration and Workflow Customization
- Collaborative tools within Talend Data Stewardship
- Tailoring workflows to specific needs
- Best practices for efficient collaboration
Advanced Features and Techniques
- Advanced methods for data cleansing
- Addressing complex data quality scenarios
- Automation of data stewardship processes
Monitoring and Reporting
- Ongoing data quality monitoring
- Generating reports in Talend Data Stewardship
- Analysis of data stewardship metrics
Case Studies and Real-world Applications
- Analyzing case studies
- Implementing Talend Data Stewardship across various industries
- Problem-solving within data stewardship contexts
Best Practices and Governance
- Establishing data governance policies
- Best practices for data stewards
- Ensuring compliance and data security
Summary and Next Steps
Requirements
- Familiarity with fundamental data management concepts
- Basic knowledge of database systems and data processing workflows
Target Audience
- Data analysts
- Data managers
- IT professionals
14 Hours
Testimonials (1)
It's a hands-on session.
