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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 data management in the cloud.

Data Integration and Orchestration

  • Techniques for data integration.
  • Tools and platforms for orchestration.
  • Best practices for data integration.

Building Industry-Aware Data Fabrics

  • The concept of Data Fabrics.
  • Designing data fabrics for Industry Clouds.
  • Practical implementation of data fabrics.

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

  • 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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