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


  • Experience with Linux command line.


  • System administrators
  • Data engineers
  • Developers
  • DevOps
 21 Hours

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