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 Duration 14 hours

Course Outline

Fundamentals of Cloud Data Administration

  • Core principles of data management
  • The strategic role of data in Industry Cloud Platforms
  • Key challenges associated with cloud-based data administration

Strategies for Data Integration and Orchestration

  • Advanced data integration methodologies
  • Overview of orchestration tools and platforms
  • Industry best practices for seamless data integration

Constructing Industry-Centric Data Fabrics

  • In-depth exploration of the Data Fabric concept
  • Architecting data fabrics specifically for Industry Clouds
  • Practical implementation of data fabric solutions

Ensuring Data Quality and Governance

  • Maintaining data integrity in cloud environments
  • Implementing robust data governance frameworks
  • Navigating regulatory compliance and industry standards

Practical Lab: Managing Data in Industry Clouds

  • Configuration of data integration pipelines
  • Development of a basic Data Fabric structure
  • Techniques for ensuring data quality assurance

Current Trends in Data Management

  • Data management strategies in the era of Big Data
  • The impact of AI and Machine Learning
  • Considerations for data privacy and ethical usage

Conclusion and Future Directions

Requirements

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

Target Audience

  • Data engineers
  • Cloud architects
  • Business intelligence specialists

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