Course Outline
Apache NiFi Fundamentals and Data Movement
- Distinctions between data in motion and data at rest: operational concepts and associated challenges
- NiFi architectural framework: processors, flow controller logic, provenance tracking, and bulletin board events
- Core components overview: processors, system connections, controllers, and provenance data management
Integration within Big Data Environments
- The role of NiFi in enterprise data ecosystems (Hadoop, Kafka, cloud storage) for government workflows
- Overview of HDFS, MapReduce, and contemporary data processing alternatives
- Application scenarios: real-time stream ingestion, log distribution, and event-driven pipelines
Deployment, Configuration, and Cluster Management
- Procedures for installing NiFi on standalone nodes and distributed clusters
- Cluster configuration parameters: node assignments, ZooKeeper ensemble setup, and load balancing strategies
- Automated orchestration of NiFi deployments using Ansible, Docker, or Helm for government infrastructure
Dataflow Design and Administration
- Flow control techniques: routing, filtering, splitting, and merging data streams
- Processor configuration examples (InvokeHTTP, QueryRecord, PutDatabaseRecord)
- Managing schema evolution, data enrichment, and transformation processes
- Strategies for error handling, retry logic, and backpressure management
System Integration Use Cases
- Connecting to relational databases, messaging queues, and RESTful APIs
- Directing streams to analytics platforms such as Kafka, Elasticsearch, or cloud storage solutions
- Integration with monitoring tools including Splunk, Prometheus, and centralized logging systems
Operational Monitoring, Disaster Recovery, and Provenance
- Utilizing the NiFi User Interface, system metrics, and provenance visualization tools
- Designing for autonomous recovery and managing graceful failure states
- Procedures for backups, flow version control, and change management documentation
Performance Optimization and Tuning
- Configuring JVM settings, heap allocation, thread pools, and clustering parameters
- Optimizing flow architecture to minimize latency and eliminate bottlenecks
- Implementing resource isolation, priority-based scheduling, and throughput management for government applications
Operational Best Practices and Governance
- Standards for flow documentation, naming conventions, and modular design principles
- Security protocols: TLS implementation, authentication mechanisms, access control lists, and data encryption standards
- Change control processes, versioning management, role-based access controls, and audit trail requirements
Troubleshooting and Incident Response Protocols
- Diagnosis of common issues: deadlock detection, memory leak identification, and processor failures
- Log analysis techniques, error diagnostics, and root cause investigation methods
- Recovery strategies and procedures for flow rollback
Practical Application: End-to-End Data Pipeline Implementation
- Constructing a complete data flow: ingestion, transformation, and delivery stages
- Implementing robust error handling, backpressure mechanisms, and scaling protocols
- Conducting performance testing and iterative tuning of the pipeline for government use cases
Course Summary and Future Development Steps
Requirements
- Proficiency in Linux command-line operations
- Fundamental knowledge of networking and data infrastructure
- Familiarity with data streaming or extract, transform, load (ETL) frameworks
Audience
- System administrators
- Data engineers
- Software developers
- DevOps specialists
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.
