Course Outline

Introduction to Data Management in the Cloud

  • Fundamentals of data management
  • Role of data in Industry Cloud Platforms
  • Challenges of data management in the cloud

Data Integration and Orchestration

  • Data integration techniques
  • Orchestration tools and platforms
  • Best practices for data integration

Building Industry-Aware Data Fabrics

  • Concept of Data Fabrics
  • Designing data fabrics for Industry Clouds
  • Implementing data fabrics in practice

Data Quality and Governance

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

Hands-On Lab: Working with Data in Industry Clouds

  • Setting up data integration pipelines
  • Creating a simple Data Fabric
  • Data quality assurance techniques

Emerging Trends in Data Management

  • Data management in the era of Big Data
  • The rise of AI and Machine Learning
  • Data privacy and ethical use

Summary and Next Steps

Requirements

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

Audience

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

Testimonials (4)

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