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Course Outline
Introduction
- Exploring the concept of data stewardship
- Defining the responsibilities of data stewards
- Overview of Talend Data Stewardship
Getting Started
- Walking through the user interface
- Configuring your workspace
- Integrating with other Talend solutions
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 handling tasks
- Delegating tasks to data stewards
- Managing workflow processes
Collaboration and Workflow Customization
- Exploring collaborative tools in Talend Data Stewardship
- Tailoring workflows to organizational needs
- Adopting best practices for seamless collaboration
Advanced Features and Techniques
- Utilizing advanced data cleansing methods
- Addressing complex data quality scenarios
- Automating data stewardship workflows
Monitoring and Reporting
- Tracking data quality metrics
- Generating reports in Talend Data Stewardship
- Analyzing data stewardship performance indicators
Case Studies and Real-world Applications
- Reviewing relevant case studies
- Implementing Talend Data Stewardship across various industries
- Solving common data stewardship challenges
Best Practices and Governance
- Developing data governance policies
- Guidelines for effective data stewardship
- Maintaining compliance and ensuring data security
Summary and Next Steps
Requirements
- Foundational knowledge of data management principles
- Familiarity with database systems and data processing concepts
Target Audience
- Data analysts
- Data managers
- IT professionals
14 Hours
Testimonials (1)
It's a hands-on session.
