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Course Outline

Introduction

  • Understanding data stewardship.
  • The role of data stewards.
  • Overview of Talend Data Stewardship.

Getting Started

  • Navigating the interface.
  • Setting up your environment.
  • Integration with other Talend products.

Data Quality Management

  • Principles of data quality.
  • Identifying data quality issues.
  • Cleansing data in Talend Data Stewardship.

Task Management

  • Creating and managing tasks.
  • Assigning tasks to data stewards.
  • Workflow management.

Collaboration and Workflow Customization

  • Collaborative features in Talend Data Stewardship.
  • Customizing workflows.
  • Best practices for effective collaboration.

Advanced Features and Techniques

  • Advanced data cleansing techniques.
  • Handling complex data quality scenarios.
  • Automating data stewardship processes.

Monitoring and Reporting

  • Monitoring data quality.
  • Reporting in Talend Data Stewardship.
  • Analyzing data stewardship metrics.

Case Studies and Real-world Applications

  • Case study analysis.
  • Applying Talend Data Stewardship in different industries.
  • Problem-solving in data stewardship scenarios.

Best Practices and Governance

  • Establishing data governance policies.
  • Best practices for data stewards.
  • Ensuring compliance and data security.

Summary and Next Steps

Requirements

  • Foundational knowledge of data management concepts.
  • Familiarity with database systems and data processing techniques.

Audience

  • Data analysts.
  • Data managers.
  • IT professionals.
 14 Hours

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