Platform Engineering for Data-Intensive Applications Training Course

Foundations of Data-Intensive Platform Engineering for Government

• Introduction to data-intensive applications for government operations
• Challenges in platform engineering for big data in the public sector
• Overview of data processing architectures for government use

Data Modeling and Management for Government

• Principles of data modeling for scalability in government systems
• Data storage options and optimization for government databases
• Managing the data lifecycle in a distributed environment for government agencies

Big Data Processing Frameworks for Government

• Overview of big data processing tools (Hadoop, Spark, Flink) suitable for government applications
• Batch vs. stream processing in government contexts
• Setting up a big data processing pipeline for government agencies

Real-Time Analytics Platforms for Government

• Architecting real-time analytics solutions for government operations
• Stream processing engines (Kafka Streams, Apache Storm) in government applications
• Building real-time dashboards and visualizations for government decision-making

Data Pipeline Orchestration for Government

• Workflow management with tools like Apache Airflow for government data pipelines
• Automating data pipelines for efficiency in government processes
• Monitoring and alerting for data pipelines to ensure reliability in government operations

Platform Security and Compliance for Government

• Security best practices for data platforms in the public sector
• Ensuring data privacy and regulatory compliance for government agencies
• Implementing secure data access controls for government systems

Performance Tuning and Optimization for Government

• Techniques for optimizing data throughput and latency in government applications
• Scaling strategies for data-intensive platforms in the public sector
• Performance benchmarking and monitoring for government data systems

Case Studies and Best Practices for Government

• Analyzing successful data platform implementations in government agencies
• Lessons learned from industry leaders with applications to government
• Emerging trends in data-intensive platform engineering relevant to government operations

Capstone Project for Government

• Designing a platform solution for a data-intensive application in government
• Implementing a prototype of the data processing pipeline for government use
• Evaluating the platform's performance and scalability in a government context

Summary and Next Steps for Government