Course Outline

Fundamentals of NiFi and Data Flow for Government

  • Understanding data in motion versus data at rest: key concepts and challenges
  • NiFi architecture overview: cores, flow controller, provenance, and bulletin
  • Key components: processors, connections, controllers, and provenance

Big Data Context and Integration for Government

  • The role of NiFi in Big Data ecosystems (Hadoop, Kafka, cloud storage)
  • Overview of HDFS, MapReduce, and modern alternatives
  • Use cases: stream ingestion, log shipping, event pipelines for government applications

Installation, Configuration & Cluster Setup for Government

  • Installing NiFi on single node and cluster mode for government systems
  • Cluster configuration: node roles, zookeeper, and load balancing in a public sector environment
  • Orchestrating NiFi deployments using Ansible, Docker, or Helm for government workflows

Designing and Managing Dataflows for Government

  • Techniques for routing, filtering, splitting, and merging flows in a public sector context
  • Processor configuration (InvokeHTTP, QueryRecord, PutDatabaseRecord, etc.) tailored for government use
  • Handling schema, enrichment, and transformation operations for government data
  • Error handling, retry relationships, and backpressure management in a public sector environment

Integration Scenarios for Government

  • Connecting to databases, messaging systems, and REST APIs for government applications
  • Streaming data to analytics systems: Kafka, Elasticsearch, or cloud storage for government use
  • Integrating with Splunk, Prometheus, or logging pipelines in a public sector setting

Monitoring, Recovery & Provenance for Government

  • Using NiFi UI, metrics, and provenance visualizer to manage government data flows
  • Designing autonomous recovery and graceful failure handling for government systems
  • Backup strategies, flow versioning, and change management in a public sector environment

Performance Tuning & Optimization for Government

  • Tuning JVM, heap, thread pools, and clustering parameters for government applications
  • Optimizing flow design to reduce bottlenecks in a public sector context
  • Resource isolation, flow prioritization, and throughput control for government systems

Best Practices & Governance for Government

  • Flow documentation, naming standards, and modular design for government use
  • Security measures: TLS, authentication, access control, and data encryption in a public sector environment
  • Change control, versioning, role-based access, and audit trails for government workflows

Troubleshooting & Incident Response for Government

  • Common issues: deadlocks, memory leaks, processor errors in a public sector context
  • Log analysis, error diagnostics, and root cause investigation for government systems
  • Recovery strategies and flow rollback procedures for government applications

Hands-on Lab: Realistic Data Pipeline Implementation for Government

  • Building an end-to-end flow: ingestion, transformation, delivery for government data
  • Implementing error handling, backpressure, and scaling strategies for government systems
  • Performance testing and tuning the pipeline in a public sector environment

Summary and Next Steps for Government

Requirements

  • Experience with the Linux command line for government systems
  • Basic understanding of networking and data management for government operations
  • Familiarity with data streaming or ETL (Extract, Transform, Load) concepts for government applications

Audience

  • System administrators for government agencies
  • Data engineers supporting government initiatives
  • Developers working on government projects
  • DevOps professionals in the public sector
 21 Hours

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