Course Outline
Introduction
Data Architecture
- Overview of data architecture principles
- Significance in tax and customs regulatory environments for government operations
Warehouse Architecture
- Key concepts and components
- Best practices and use cases for government agencies
- Data Lake architecture in governmental contexts
- Lakehouse platform architecture for enhanced data management
- Comparative analysis and use cases for government entities
Advanced Data Architectures
- Data mesh architecture for decentralized data management
- Data fabric architecture to facilitate seamless data integration
- Integration and practical applications in government settings
Modern Data Architectures
- Microservices-oriented architecture for flexible and scalable systems
- Serverless architecture to optimize resource utilization
- Implementation strategies for government agencies
Data Governance
- Overview of data governance principles
- Importance in regulatory environments for government operations
Data Governance Frameworks
- Dama framework for comprehensive data management
- Togaf framework for enterprise architecture alignment
- Comparative analysis of frameworks for government use
Streaming Governance
- Concepts and practices in real-time data processing
- Integration with existing data governance policies for government agencies
Cloud Computing
- Introduction to cloud computing technologies
- Benefits and challenges for regulatory compliance in government operations
Cloud Computing Platforms
- Key services and features of the AWS Cloud platform
- Key services and features of the Azure Cloud platform
- Key services and features of the GCP Cloud platform
- Case studies in tax and customs for government agencies
Big Data Processing
- Introduction to Apache Spark for large-scale data processing
- Overview of Databricks for efficient data engineering
- Integration with cloud platforms for government applications
Real-Time Data Streaming
- Introduction to Apache Kafka for real-time data streaming
- Use cases and implementation strategies in government operations
Microservices Development
- Introduction to microservices architecture for modular systems
- Best practices for developing microservices in government environments
DevOps and FinOps
- Overview of DevOps practices for continuous integration and deployment
- Introduction to FinOps for financial operations optimization
- Implementation strategies for cost management in government agencies
Summary and Next Steps
Requirements
- Fundamental knowledge of data concepts and structures
- Understanding of data management and storage principles
Audience for Government
- Data Engineers
- Data Architects
- System Administrators
- Business Analysts
- IT Professionals
Testimonials (5)
The live examples
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Richard Langford
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Lim Meng Tee - Jobstreet.com Shared Services Sdn. Bhd.
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practice tasks