This Apache NiFi Essentials training is designed to help participants design, build, and manage data flow automation pipelines using Apache NiFi. The course covers NiFi architecture, flow-based programming, processors, controllers, data ingestion, transformation, routing, and monitoring. Participants will gain hands-on experience to build scalable, reliable, and secure data pipelines for real-time and batch data integration use cases.

• Understand the architecture, core components, and dataflow concepts of Apache NiFi.
• Design, build, and manage automated data pipelines for data ingestion and processing.
• Configure processors, connections, controllers, and flow management components effectively.
• Integrate Apache NiFi with databases, APIs, files, and enterprise data sources.
• Implement data transformation, routing, monitoring, and error-handling workflows.
• Build scalable, secure, and real-time data integration solutions using Apache NiFi best practices.

 • Data engineers and integration engineers
 • Big data and analytics professionals
 • ETL and data pipeline developers
 • Platform and infrastructure engineers
 • Professionals working with streaming and data integration tools

 • Basic understanding of data concepts and databases
 • Familiarity with Linux or system administration is helpful
 • Interest in data integration and data engineering

 • Understanding Apache NiFi architecture and components
 • Building data flows using flow-based programming
 • Ingesting data from multiple sources
 • Transforming and routing data
 • Managing processors and controller services
 • Handling errors and data provenance
 • Monitoring and managing NiFi flows
 • Applying NiFi security and best practices

By the end of this training, participants will be able to design, deploy, and manage automated data pipelines using Apache NiFi with confidence. Learners will gain strong fundamentals in data ingestion, transformation, routing, and monitoring, enabling them to support scalable and reliable data integration architectures.

Introduction to Apache NiFi & Flow-Based Programming
 • What is Apache NiFi and where it is used
 • Flow-based programming concepts
 • NiFi architecture and components
 • NiFi user interface and navigation

Installing & Configuring NiFi
 • NiFi installation options
 • Basic configuration files
 • Starting and stopping NiFi
 • Verifying NiFi setup

Core NiFi Components & Processors
 • Understanding processors
 • FlowFiles and attributes
 • Connections and queues
 • Back pressure and prioritization

Data Ingestion Fundamentals
 • Ingesting data from files and directories
 • Consuming data from HTTP and APIs
 • Database ingestion basics
 • Scheduling and flow triggering

Data Transformation & Enrichment
 • Modifying attributes and content
 • Converting data formats
 • Data validation and cleansing
 • Enriching data using lookups

Routing, Filtering & Flow Control
 • Routing on attributes and content
 • Conditional flows
 • Splitting and merging FlowFiles
 • Managing complex flow logic

Controller Services & Reusability
 • Using controller services
 • Database connection pools
 • Shared services and configurations
 • Parameter contexts basics

Data Provenance & Lineage
 • Understanding NiFi provenance
 • Tracking data lineage
 • Debugging flows using provenance
 • Auditing and compliance use cases

Error Handling & Reliability
 • Designing for failure
 • Retry and fallback strategies
 • Dead letter queues
 • Handling malformed data

Performance Tuning & Scaling
 • Queue management
 • Thread and resource tuning
 • Scaling NiFi with clustering basics
 • Performance optimization best practices

Security & Access Control
 • User authentication and authorization
 • Securing data flows
 • SSL and certificate basics
 • Multi-tenant NiFi environments

Integration with Big Data & Cloud Platforms
 • Integrating with Kafka, HDFS, and cloud storage
 • NiFi in modern data architectures
 • Hybrid and cloud-native use cases
 • End-to-end pipeline design

Apache NiFi Project Workshop & Best Practices
 • Building a complete data ingestion and transformation pipeline
 • Applying routing, error handling, and monitoring
 • Implementing security and performance practices
 • Final project review and optimization

• Apache NiFi Setup & Architecture Assessment
• Data Flow Design & Processor Configuration Assessment
• Data Ingestion, Routing & Transformation Assessment
• Monitoring, Error Handling & Performance Optimization Assessment
• End-to-End Data Pipeline Mini Project Assessment

Participants will be evaluated through hands-on Apache NiFi labs, practical data flow development exercises, instructor-led reviews, and a final project-based assessment focused on building a complete NiFi data pipeline.

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Apache NiFi Essentials. This digital, verifiable certification validates practical Apache NiFi data integration, flow-based programming, and automated data pipeline skills and can be shared on LinkedIn and included in professional profiles to enhance data engineering and integration career credibility.