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Vincent Gomez
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Apache NiFi in Depth: Fundamentals to Advanced Flow Design
Advanced Apache NiFi: Scalable Dataflows, Architecture, Orchestration, Create, Manage, Scale Data Pipelines for Success.
5.071 reviews185 learners
- All Levels
- 1h 33m video
- 21 lectures
- English
- Captions
- Updated 2026
Taught by Muhammad Naeem
- 1h 33m of on-demand video
- 21 lectures across 6 sections
- One-off payment — no subscription
- Lifetime access on web and mobile
- Closed captions (English)
Curriculum
6 sections21 lectures1h 33m total
- Introduction to Data Routing and Orchestration Paradigms4:39
- The History and Origins of Apache NiFi4:12
- Flow-Based Programming (FBP) Concepts in NiFi4:44
- Understanding FlowFiles: Attributes and Content Repositories4:19
- The NiFi Runtime Architecture and JVM Integration4:33
- Deep Dive into the FlowFile and Provenance Repositories4:25
- The Flow Controller and Extension Registry Mechanics4:29
- NiFi Clustering and Distributed Multi-Node Architecture4:27
- Standard Processor Categorization and Functional Roles4:19
- Connection Logic: Queues, Prioritizers, and Load Balancing4:13
- Process Groups and Logical Dataflow Segmentation4:21
- Remote Process Groups for Site-to-Site Communication4:25
- Syntax and Application of the NiFi Expression Language4:03
- Routing Logic: Relationships and Failure Handling Strategies4:10
- Component Scheduling: Timer Driven vs. CRON Driven4:12
- Controller Services: Shared State and Resource Management5:10
- The Record Reader and Record Writer Framework4:29
- Schema Management and Integration with Schema Registries4:15
- Record-Based Transformation and Enrichment Frameworks4:48
- Data Provenance and Enterprise Lineage Tracking4:18
- Security Models: Authentication and Multi-Tenant Authorization4:35
About this course
This course contains the use of artificial intelligence. This is an Unofficial Course. This course offers a comprehensive and in-depth exploration of Apache NiFi, designed to help you master the art of data routing, transformation, and orchestration in modern data ecosystems. Whether you are a data engineer, software developer, or IT professional, you will gain a strong foundation in building scalable, reliable, and maintainable dataflows using a flow-based programming approach. You will begin by understanding t…
Before you start
- Willingness to learn hands-on and experiment with building dataflows
- Familiarity with general programming concepts (any language) is helpful but not mandatory
Who it’s for
- Data engineers who want to design and manage scalable dataflows
- Software developers looking to integrate and automate data movement between systems
- ETL developers aiming to modernize their workflows with flow-based tools
- Big data professionals working with distributed data processing systems
- System administrators and IT professionals responsible for data integration and infrastructure
- Analysts and technical professionals who want to understand how data pipelines are built and managed
- Beginners who want to start a career in data engineering and learn a powerful orchestration tool
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