Course Outline

Foundations of Data-Intensive Platform Engineering for Government

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

Data Modeling and Management for Government

  • Principles of data modeling for scalability in governmental systems
  • Data storage options and optimization tailored to public sector needs
  • Managing the data lifecycle in a distributed environment within 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 the context of public sector requirements
  • Setting up a big data processing pipeline aligned with government workflows

Real-Time Analytics Platforms for Government

  • Architecting real-time analytics platforms to meet government needs
  • Stream processing engines (Kafka Streams, Apache Storm) optimized for public sector use
  • Building real-time dashboards and visualizations for enhanced decision-making in government

Data Pipeline Orchestration for Government

  • Workflow management with tools like Apache Airflow tailored for government operations
  • Automating data pipelines to enhance efficiency in public sector workflows
  • Monitoring and alerting mechanisms designed for government data pipelines

Platform Security and Compliance for Government

  • Security best practices for data platforms within the public sector
  • Ensuring data privacy and regulatory compliance in government environments
  • Implementing secure data access controls to meet government standards

Performance Tuning and Optimization for Government

  • Techniques for optimizing data throughput and latency in governmental systems
  • Scaling strategies for data-intensive platforms aligned with public sector requirements
  • Performance benchmarking and monitoring tailored to government operations

Case Studies and Best Practices for Government

  • Analyzing successful data platform implementations within the public sector
  • Lessons learned from industry leaders in government data management
  • Emerging trends in data-intensive platform engineering relevant to government agencies

Capstone Project for Government

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

Summary and Next Steps for Government

Requirements

  • An understanding of fundamental data structures and algorithms
  • Experience with Java, Scala, or Python programming languages
  • Familiarity with basic database concepts and SQL

Audience for government

  • Software developers
  • Data engineers
  • Technical leads
 21 Hours

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