Apache NiFi for Administrators Training Course

Course Code



21 hours (usually 3 days including breaks)


  • Experience with Linux command line.


  • System administrators
  • Data engineers
  • Developers
  • DevOps


Apache NiFi (Hortonworks DataFlow) is a real-time integrated data logistics and simple event processing platform that enables the moving, tracking and automation of data between systems. It is written using flow-based programming and provides a web-based user interface to manage dataflows in real time.

In this instructor-led, live training (onsite or remote), participants will learn how to deploy and manage Apache NiFi in a live lab environment.

By the end of this training, participants will be able to:

  • Install and configure Apachi NiFi.
  • Source, transform and manage data from disparate, distributed data sources, including databases and big data lakes.
  • Automate dataflows.
  • Enable streaming analytics.
  • Apply various approaches for data ingestion.
  • Transform Big Data and into business insights.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.

Course Outline

Introduction to Apache NiFi   

  • Data at rest vs data in motion

Overview of Big Data and Apache Hadoop

  • HDFS and MapReduce architecture

Setting up and Running a NiFi Cluster

  • Cluster Integration
  • Load Balancing/Redundancy
  • Mass Orchestration of NiFi (via Ansible)

NiFi Operations

  • Database Aggregating, Splitting and Transforming
  • Data Extractions, Logging, etc.
  • Integrating with Splunk (optional)

Monitoring and Recovery

  • Recovering without Data Loss
  • Autonomous Recovery

Optimizing NiFI

  • Performance tuning
  • Optimizing Nifi Setup

Best practices


Summary and Conclusion



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