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Course Outline

Introduction to Cloud-Based Data Management

  • Core principles of data management
  • The significance of data within Industry Cloud Platforms
  • Navigating the challenges of data management in cloud environments

Data Integration and Orchestration

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

Developing Industry-Aware Data Fabrics

  • The concept and architecture of Data Fabrics
  • Designing data fabric solutions tailored for Industry Clouds
  • Practical implementation strategies for data fabrics

Data Quality and Governance

  • Maintaining data quality standards in the cloud
  • Implementing data governance frameworks
  • Adhering to regulatory compliance and industry standards

Practical Workshop: Data Operations in Industry Clouds

  • Configuring data integration pipelines
  • Building a foundational Data Fabric
  • Applying data quality assurance techniques

Future Trends in Data Management

  • Data management strategies in the era of Big Data
  • The impact of AI and Machine Learning on data practices
  • Data privacy considerations and ethical usage

Concluding Summary and Recommended Next Steps

Requirements

  • A solid grasp of fundamental data concepts and structures
  • Practical experience with cloud computing fundamentals
  • Working knowledge of data processing and storage mechanisms

Target Audience

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

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