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Course Outline

Introduction to Data Management in the Cloud

  • Fundamentals of data management
  • The role of data in Industry Cloud Platforms
  • Challenges associated with cloud-based data management

Data Integration and Orchestration

  • Techniques for data integration
  • Orchestration tools and platforms
  • Best practices for data integration

Building Industry-Aware Data Fabrics

  • Concepts underpinning Data Fabrics
  • Designing data fabrics for Industry Clouds
  • Practical implementation of data fabrics

Data Quality and Governance

  • Ensuring data quality in cloud environments
  • Data governance frameworks
  • Regulatory compliance and industry standards

Hands-On Lab: Working with Data in Industry Clouds

  • Setting up data integration pipelines
  • Constructing a basic Data Fabric
  • Data quality assurance techniques

Emerging Trends in Data Management

  • Data management in the Big Data era
  • The growing influence of AI and Machine Learning
  • Data privacy and ethical usage

Summary and Next Steps

Requirements

  • A solid understanding of basic data concepts and structures
  • Experience with the fundamentals of cloud computing
  • Familiarity with data processing and storage mechanisms

Audience

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

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