Apache Nifi Training and Certification in Copenhagen, Denmark

Apache NiFi training focuses on mastering data flow automation, integration, and processing using the NiFi platform. It covers essential topics such as data ingestion, transformation, routing, and delivery across diverse systems. Participants gain hands-on experience in configuring NiFi processors, managing workflows, and ensuring data security and compliance. The training emphasizes real-world scenarios, enabling learners to design scalable and efficient data pipelines for various use cases. By completing this course, professionals can streamline data integration processes and support real-time analytics in enterprise environments.

Introduction to Apache NiFi and Basic Flow Creation

• Introduction to Apache NiFi:

• Overview of Apache NiFi and its role in data integration.

• NiFi components: processors, controllers, and flow files.

• NiFi architecture and cluster setup.

• Hands-on Exercise

• Basic NiFi Flow Design:

• Understanding flow files and processors.

• Designing simple data flows: input/output processors.

• Hands-on Exercise

• Data Provenance and Monitoring:

• Introduction to NiFi’s data provenance feature.

• Tracking flow files and troubleshooting data flows.

• Hands-on Exercise

Intermediate Data Flow Design and Integration

• Working with NiFi Processors:

• Understanding and using core processors for data routing, transformation, and enrichment.

• Using built-in processors for common data tasks (e.g., filtering, merging, splitting).

• Hands-on Exercise

• Data Integration and External Systems:

• Integrating NiFi with databases, file systems, and messaging systems (e.g., Kafka, JMS).

• Configuring database processors and connectors for data ingestion.

• Hands-on Exercise

• Data Flow Templates and Reusability:

• Using NiFi templates to save and reuse flow configurations.

• Sharing templates between NiFi instances.

• Hands-on Exercise

Advanced NiFi Features and Performance Optimization

• Advanced Data Flow Features:

• Using advanced processors for complex transformations (e.g., regular expressions, custom scripting).

• Dynamic routing based on flow file attributes and conditions.

• Hands-on Exercise

• NiFi Performance Tuning and Scaling:

• Best practices for optimizing NiFi’s performance in large-scale deployments.

• Setting up NiFi clusters for high availability and scalability.

• Configuring back pressure, prioritization, and flow file queuing.

• Hands-on Exercise

• Security and Monitoring:

• Configuring NiFi’s security features (SSL, authentication, and authorization).

• Monitoring NiFi’s performance using the NiFi UI and external tools (Prometheus, Grafana).

• Hands-on Exercise