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Course Outline

Foundations of Cloud-Based Data Management

  • Core principles of data management
  • The significance of data in Industry Cloud Platforms
  • Navigating the complexities of cloud data management

Data Integration and Workflow Orchestration

  • Methods for effective data integration
  • Tools and platforms for orchestration
  • Industry best practices for data integration

Developing Industry-Aware Data Fabrics

  • Understanding the data fabric concept
  • Architecting data fabrics for Industry Clouds
  • Practical implementation strategies

Upholding Data Quality and Governance

  • Maintaining data integrity in the cloud
  • Frameworks for data governance
  • Meeting regulatory compliance and standards

Practical Lab: Managing Data in Industry Clouds

  • Configuring data integration pipelines
  • Constructing a basic Data Fabric
  • Applying data quality assurance methods

Frontier Trends in Data Management

  • Data management in the Big Data era
  • The impact of AI and Machine Learning
  • Data privacy and ethical considerations

Conclusion and Future Directions

Requirements

  • A solid grasp of fundamental data concepts and structural models
  • Practical experience with cloud computing basics
  • Knowledge of data processing workflows and storage solutions

Target Audience

  • Data engineers
  • Cloud architects
  • Business intelligence specialists
 14 Hours

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