Course Outline
Core Principles of Apache NiFi and Data Flow Management
- Distinguishing between data in motion and data at rest: underlying concepts and associated operational challenges
- Apache NiFi architecture: core components, flow controller, provenance tracking, and bulletin board mechanisms
- Essential components: processors, connections, controller services, and provenance data structures
Large-Scale Data Contexts and System Integration
- The function of Apache NiFi within large-scale data ecosystems (including Hadoop, Kafka, and cloud storage solutions) for government
- Overview of HDFS, MapReduce, and contemporary distributed computing alternatives
- Operational use cases: stream ingestion, log transmission, and event-driven pipeline management
Deployment, Configuration & Cluster Infrastructure
- Installation procedures for single-node environments and distributed cluster modes
- Cluster configuration parameters: node role definitions, Zookeeper coordination, and load balancing strategies
- Orchestrating Apache NiFi deployments for government using Ansible, Docker, or Helm
Dataflow Design and Operational Management
- Techniques for routing, filtering, splitting, and merging data streams
- Processor configuration (e.g., InvokeHTTP, QueryRecord, PutDatabaseRecord, and similar tools)
- Managing schema alignment, data enrichment, and transformation logic
- Implementing error handling, retry mechanisms, and backpressure controls
Integration Scenarios for Government Operations
- Interfacing with relational databases, message brokers, and RESTful APIs
- Streaming data to analytics platforms such as Kafka, Elasticsearch, or cloud storage repositories
- Integration with monitoring and logging systems, including Splunk, Prometheus, and centralized logging pipelines
Monitoring, System Recovery & Provenance Auditing
- Utilizing the Apache NiFi user interface, performance metrics, and provenance visualization tools
- Designing autonomous recovery processes and graceful failure management protocols
- Establishing backup procedures, flow version control, and change management practices
Performance Optimization & Tuning
- Adjusting JVM settings, heap memory, thread pools, and clustering parameters for optimal performance
- Refining flow architecture to identify and mitigate processing bottlenecks
- Managing resource isolation, flow prioritization, and throughput regulation
Best Practices & Governance Frameworks
- Ensuring comprehensive flow documentation, adherence to naming conventions, and modular design standards
- Security implementation: TLS encryption, authentication protocols, access control lists, and data encryption standards for government
- Enforcing change control, versioning policies, role-based access controls, and maintaining audit trails
Troubleshooting & Incident Response Procedures
- Addressing common operational issues such as deadlocks, memory leaks, and processor faults
- Conducting log analysis, error diagnostics, and root cause investigations
- Executing recovery strategies and implementing flow rollback procedures
Practical Exercise: Comprehensive Data Pipeline Implementation
- Constructing an end-to-end data flow encompassing ingestion, transformation, and delivery phases
- Applying error handling, backpressure management, and scaling techniques
- Conducting performance testing and tuning of the implemented pipeline
Conclusion and Recommendations for Continued Development
Requirements
- Proficiency with Linux command-line operations
- Foundational knowledge of network architecture and data systems
- Familiarity with data streaming principles or Extract, Transform, Load (ETL) concepts
Target Audience
- System administrators
- Data engineers
- Software developers
- DevOps professionals
Testimonials (7)
Hands on exercises. Class should have been 5 days, but the 3 days helped to clear up a lot of questions that I had from working with NiFi already
James - BHG Financial
Course - Apache NiFi for Administrators
I thought the trainer's pace was good. He left no student behind with his approach. He was very supportive with us NEWBIES that may not have had a System Administrator or Infrastructure role during our career or resurrected those skills from a prior period of our career.
Pamdrea Ivory - BHG Financial
Course - Apache NiFi for Administrators
I like the hands on section. It helped me to better retain information by completing the provided exercises. Also, the trainer's ability to engage with the entire class made me feel comfortable to ask questions on things I was not sure about.
Leila - BHG Financial
Course - Apache NiFi for Administrators
Use-cases, examples for building NiFi dataflows. We worked on troubleshooting common problems and gotchas.
Nelson - BHG Financial
Course - Apache NiFi for Administrators
I loved the structure. We dove into the basics of Nifi, concepts, use cases, etc. on day 1. On day 2, we got to put Day 1 knowledge into practice by building out flows to meet scenario requirements. Day 3 we got to see Nifi Registry and version control, mulit-tenancy, and go over Q&A.
Adam - BHG Financial
Course - Apache NiFi for Administrators
I like how he was able to elaborate about Nifi and how powerful it is. You can basically use it for any infrastructure and use many different computer languages. Also i was glad we were able to fix the Nifi cert renewal issue we were having with the Truststore.
Joachim Martin - BHG Financial
Course - Apache NiFi for Administrators
general knowledge and the possibilities that the training offered in terms on the tool.
