Course Outline
NiFi Fundamentals and Data Flow Concepts
- Data in motion versus data at rest: underlying concepts and challenges
- NiFi architecture: cores, flow controller, provenance, and bulletin boards
- Essential components: processors, connections, controllers, and provenance
Big Data Context and Integration
- The role of NiFi within Big Data ecosystems (Hadoop, Kafka, cloud storage)
- Overview of HDFS, MapReduce, and contemporary alternatives
- Use cases: stream ingestion, log shipping, and event pipelines
Installation, Configuration & Cluster Setup
- Installing NiFi on a single node and in cluster mode
- Cluster configuration: node roles, ZooKeeper integration, and load balancing
- Orchestrating NiFi deployments using Ansible, Docker, or Helm
Designing and Managing Dataflows
- Routing, filtering, splitting, and merging flows
- Configuring processors (e.g., InvokeHTTP, QueryRecord, PutDatabaseRecord)
- Managing schemas, enrichment, and transformation operations
- Handling errors, retry mechanisms, and backpressure
Integration Scenarios
- Connecting to databases, messaging systems, and REST APIs
- Streaming data to analytics systems such as Kafka, Elasticsearch, or cloud storage
- Integrating with Splunk, Prometheus, or logging pipelines
Monitoring, Recovery & Provenance
- Utilising the NiFi UI, metrics, and provenance visualiser
- Designing autonomous recovery and graceful failure handling
- Backup strategies, flow versioning, and change management
Performance Tuning & Optimisation
- Tuning JVM, heap, thread pools, and clustering parameters
- Refining flow design to minimise bottlenecks
- Resource isolation, flow prioritisation, and throughput control
Best Practices & Governance
- Flow documentation, naming conventions, and modular design
- Security measures: TLS, authentication, access control, and data encryption
- Change control, versioning, role-based access, and audit trails
Troubleshooting & Incident Response
- Addressing common issues: deadlocks, memory leaks, and processor errors
- Log analysis, error diagnostics, and root cause investigation
- Recovery strategies and flow rollback procedures
Hands-on Lab: Implementing a Realistic Data Pipeline
- Constructing an end-to-end flow covering ingestion, transformation, and delivery
- Implementing error handling, backpressure management, and scaling strategies
- Performance testing and pipeline tuning
Summary and Next Steps
Requirements
- Proficiency with the Linux command line
- Basic knowledge of networking and data systems
- Familiarity with data streaming or ETL concepts
Target Audience
- System administrators
- Data engineers
- Developers
- DevOps professionals
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
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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.