Course Outline


  • Data at rest vs data in motion

Overview of Big Data Tools and Technologies

  • Hadoop (HDFS and MapReduce) and Spark

Installing and Configuring NiFi

Overview of NiFi Architecture

Development Approaches

  • Application development tools and mindset
  • Extract, Transform, and Load (ETL) tools and mindset

Design Considerations

Components, Events, and Processor Patterns

Exercise: Streaming Data Feeds into HDFS

Error Handling

Controller Services

Exercise: Ingesting Data from IoT Devices using Web-Based APIs

Exercise: Developing a Custom Apache Nifi Processor using JSON

Testing and Troubleshooting

Contributing to Apache NiFi

Summary and Conclusion


  • Java programming experience.
  • Experience with Maven.


  • Developers
  • Data engineers
  7 Hours


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