Course Outline
NiFi and Data Flow Fundamentals
- Distinguishing between data in motion and data at rest: key concepts and associated challenges
- NiFi architecture components: cores, flow controller, provenance, and bulletin board
- Core elements: processors, connections, controllers, and provenance tracking
Big Data Context and Integration Strategies
- The position of NiFi within Big Data ecosystems (Hadoop, Kafka, cloud storage solutions)
- Overview of HDFS, MapReduce, and contemporary alternatives
- Application scenarios: stream ingestion, log shipping, and event pipelines
Installation, Configuration, and Cluster Deployment
- Installing NiFi in single-node and cluster modes
- Configuring clusters: defining node roles, ZooKeeper coordination, and load balancing
- Orchestrating NiFi deployments using Ansible, Docker, or Helm
Dataflow Design and Management
- Managing flow routing, filtering, splitting, and merging operations
- Configuring processors (e.g., InvokeHTTP, QueryRecord, PutDatabaseRecord)
- Handling schema management, data enrichment, and transformation tasks
- Implementing error handling, retry relationships, and backpressure mechanisms
Integration Scenarios
- Establishing connections to databases, messaging systems, and REST APIs
- Streaming data to analytics platforms such as Kafka, Elasticsearch, or cloud storage
- Integrating with monitoring tools like Splunk, Prometheus, or logging pipelines
Monitoring, Recovery, and Provenance
- Leveraging the NiFi UI, performance metrics, and provenance visualizer
- Designing strategies for autonomous recovery and graceful failure handling
- Managing backups, flow versioning, and change control processes
Performance Tuning and Optimization
- Tuning JVM settings, heap memory, thread pools, and clustering parameters
- Refining flow design to eliminate performance bottlenecks
- Managing resource isolation, flow prioritization, and throughput control
Best Practices and Governance
- Maintaining flow documentation, adhering to naming standards, and employing modular design
- Security protocols: TLS, authentication, access control, and data encryption
- Enforcing change control, versioning, role-based access, and audit trails
Troubleshooting and Incident Response
- Addressing common issues such as deadlocks, memory leaks, and processor errors
- Conducting log analysis, error diagnostics, and root cause investigations
- Implementing recovery strategies and flow rollback procedures
Practical Lab: Implementing a Realistic Data Pipeline
- Constructing an end-to-end flow covering ingestion, transformation, and delivery
- Implementing error handling, backpressure management, and scaling techniques
- Executing performance tests and tuning the pipeline
Summary and Future Steps
Requirements
- Familiarity with Linux command-line operations
- Basic comprehension of networking principles and data systems
- Prior exposure to data streaming or ETL concepts
Target 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.
