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Course Outline
Introduction
- Understanding the concept of data stewardship.
- The role and responsibilities of data stewards.
- Overview of Talend Data Stewardship capabilities.
Getting Started
- Navigating the user interface.
- Setting up your working environment.
- Integration with other Talend products.
Data Quality Management
- Core principles of data quality.
- Identifying and diagnosing data quality issues.
- Performing data cleansing within Talend Data Stewardship.
Task Management
- Creating and managing operational tasks.
- Assigning tasks to designated data stewards.
- Managing workflow processes.
Collaboration and Workflow Customization
- Exploring collaborative features in Talend Data Stewardship.
- Customizing workflows to meet organizational needs.
- Best practices for fostering effective collaboration.
Advanced Features and Techniques
- Advanced techniques for data cleansing.
- Addressing complex data quality scenarios.
- Automating data stewardship processes.
Monitoring and Reporting
- Continuously monitoring data quality.
- Generating reports in Talend Data Stewardship.
- Analyzing key data stewardship metrics.
Case Studies and Real-world Applications
- Analysis of real-world case studies.
- Applying Talend Data Stewardship across various industries.
- Solving data stewardship challenges in practical scenarios.
Best Practices and Governance
- Establishing robust data governance policies.
- Adopting best practices for data stewards.
- Ensuring compliance and maintaining data security.
Summary and Next Steps
Requirements
- Fundamental understanding of data management principles.
- Basic knowledge of database systems and data processing techniques.
Target Audience
- Data analysts.
- Data managers.
- IT professionals.
14 Hours
Testimonials (1)
It's a hands-on session.
