Course Outline
NiFi Fundamentals and Data Flow Concepts
- Understanding the distinction between data in motion and data at rest, along with associated challenges.
- Exploring NiFi architecture: core components, flow controller, provenance, and bulletin boards.
- Identifying key elements: processors, connections, controllers, and provenance.
Big Data Context and Integration
- The role of NiFi within Big Data ecosystems, including Hadoop, Kafka, and cloud storage solutions.
- An overview of HDFS, MapReduce, and modern alternatives.
- Practical use cases: stream ingestion, log shipping, and event pipelines.
Installation, Configuration & Cluster Setup
- Installing NiFi in both single-node and cluster modes.
- Configuring clusters: defining node roles, integrating Zookeeper, and implementing load balancing.
- Orchestrating NiFi deployments using tools such as Ansible, Docker, or Helm.
Designing and Managing Dataflows
- Executing routing, filtering, splitting, and merging of flows.
- Configuring processors (e.g., InvokeHTTP, QueryRecord, PutDatabaseRecord).
- Managing schema handling, data enrichment, and transformation operations.
- Addressing error handling, retry mechanisms, and backpressure control.
Integration Scenarios
- Connecting NiFi 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 & Provenance
- Utilizing the NiFi UI, metrics, and the provenance visualizer.
- Designing systems for autonomous recovery and graceful failure handling.
- Managing backups, flow versioning, and change management.
Performance Tuning & Optimization
- Tuning JVM settings, heap memory, thread pools, and clustering parameters.
- Optimizing flow designs to minimize bottlenecks.
- Implementing resource isolation, flow prioritization, and throughput control.
Best Practices & Governance
- Establishing flow documentation, naming standards, and modular design principles.
- Enhancing security through TLS, authentication, access control, and data encryption.
- Enforcing change control, versioning, role-based access, and maintaining audit trails.
Troubleshooting & 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 executing flow rollbacks.
Hands-on Lab: Realistic Data Pipeline Implementation
- Constructing an end-to-end flow covering ingestion, transformation, and delivery.
- Implementing error handling, backpressure mechanisms, and scaling strategies.
- Conducting performance tests and tuning the pipeline.
Summary and Next Steps
Requirements
- Proficiency with the Linux command line.
- Fundamental understanding of networking and data systems.
- Prior exposure to data streaming or ETL (Extract, Transform, Load) concepts.
Audience
- System administrators
- Data engineers
- 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.
