Course Outline

Introduction to Data Management in the Cloud for Government

  • Fundamentals of data management for government operations
  • Role of data in Industry Cloud Platforms for government applications
  • Challenges of data management in the cloud for government agencies

Data Integration and Orchestration for Government

  • Data integration techniques suitable for government workflows
  • Orchestration tools and platforms for government use
  • Best practices for data integration in a governmental context

Building Industry-Aware Data Fabrics for Government

  • Concept of Data Fabrics tailored for government needs
  • Designing data fabrics for Industry Clouds to support government missions
  • Implementing data fabrics in practice within government agencies

Data Quality and Governance for Government

  • Ensuring data quality in the cloud for government operations
  • Data governance frameworks aligned with public sector standards
  • Regulatory compliance and standards specific to government entities

Hands-On Lab: Working with Data in Industry Clouds for Government

  • Setting up data integration pipelines for government use cases
  • Creating a simple Data Fabric for government applications
  • Data quality assurance techniques tailored for government agencies

Emerging Trends in Data Management for Government

  • Data management in the era of Big Data for government operations
  • The rise of AI and Machine Learning in government contexts
  • Data privacy and ethical use considerations for government agencies

Summary and Next Steps for Government

Requirements

  • An understanding of fundamental data concepts and structures
  • Experience with the basics of cloud computing
  • Familiarity with mechanisms for data processing and storage

Audience

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

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