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Duration 14 hours
Course Outline
Introduction
- The concept of data stewardship.
- The responsibilities of data stewards.
- An 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.
- Detecting potential data quality issues.
- Performing data cleansing within Talend Data Stewardship.
Task Management
- Generating and organizing tasks.
- Delegating responsibilities to data stewards.
- Managing workflow processes.
Collaboration and Workflow Customization
- Collaborative functionalities in Talend Data Stewardship.
- Tailoring workflows to specific needs.
- Effective strategies for team collaboration.
Advanced Features and Techniques
- Sophisticated data cleansing methods.
- Addressing complex data quality challenges.
- Automating routine data stewardship activities.
Monitoring and Reporting
- Tracking data quality metrics.
- Generating reports using Talend Data Stewardship.
- Analyzing performance indicators related to data stewardship.
Case Studies and Real-world Applications
- Reviewing case study scenarios.
- Implementing Talend Data Stewardship across various sectors.
- Problem-solving in real-world data stewardship situations.
Best Practices and Governance
- Formulating data governance policies.
- Recommended practices for data stewards.
- Maintaining compliance and data security standards.
Summary and Next Steps
Requirements
- Familiarity with fundamental data management concepts.
- Foundational knowledge of database architectures and data processing techniques.
Target Audience
- Data analysts.
- Data managers.
- IT specialists.
Testimonials (1)
It's a hands-on session.
