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Data Management with Apache NiFi

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Apache NiFi is designed to automate the flow of data between software systems. If you are a data management professional, this course can give you the understanding you need to get started with this powerful tool. Janani Ravi guides you through getting started with Apache NiFi. Learn about core concepts and architecture, as well as how to download, start, and log into Apache NiFi on both macOS and Windows. Find out how to build and run data flows and how to integrate NiFi with PostgreSQL. Explore ways to configure and use NiFi processors and processing groups and integrate NiFi with Amazon S3. Plus, discover advanced features of NiFi dataflows like configuring back pressure, using a funnel in the dataflow, setting up monitoring and configuring alerts for a dataflow, and much more.

This course was created by Janani Ravi. We are pleased to host this training in our library.


01 - Introduction
  • 01 - Data management with Apache NiFi

  • 02 - 1. Getting Started with Apache NiFi
  • 01 - Prerequisites
  • 02 - Apache NiFi core concepts
  • 03 - Apache NiFi architecture
  • 04 - macOS Download Apache NiFi
  • 05 - Windows Download Apache NiFi
  • 06 - macOS and Windows Starting the NiFi server
  • 07 - macOS Logging into NiFi
  • 08 - Windows Logging into Apache NiFi
  • 09 - Exploring the NiFi UI

  • 03 - 2. Building and Running Data Flows
  • 01 - Adding and configuring processors
  • 02 - Running a dataflow
  • 03 - Flow summaries and flow operations
  • 04 - Creating, saving, and importing flow templates

  • 04 - 3. Integrating NiFi with PostgreSQL
  • 01 - Set up a PostgreSQL table
  • 02 - Add GetFile and PutDatabase processors
  • 03 - Configuring the CSVReader controller service
  • 04 - Configuring the DBConnectionPool controller service
  • 05 - Running and encountering dataflow errors
  • 06 - Configuring the ReplaceText processor
  • 07 - Running a dataflow to insert data into PostgreSQL
  • 08 - Configuring the Run schedule
  • 09 - Configuring task concurrency
  • 10 - Configure processors to execute SQL queries

  • 05 - 4. Exploring NiFi Processors and Process Groups
  • 01 - Configure processors to convert data formats
  • 02 - Updating attributes and writing files
  • 03 - Running the end-to-end flow
  • 04 - Modularize dataflows with process groups
  • 05 - Running a dataflow with a process group

  • 06 - 5. Integrating NiFi with Amazon S3
  • 01 - Creating a PostgreSQL table, Amazon S3 bucket, and an IAM user
  • 02 - Reading from files and storing in a database
  • 03 - Configure the PutS3Bucket processor
  • 04 - Running the flow to read from file and write to database and Amazon S3

  • 07 - 6. Using Advanced Features of NiFi Dataflows
  • 01 - Configuring back pressure
  • 02 - Observing the effects of back pressure
  • 03 - Configuring an InvokeHTTP processor
  • 04 - Using a funnel in the dataflow
  • 05 - Running the dataflow to read from URL and write to files
  • 06 - Setting up monitoring for the dataflow
  • 07 - Configuring alerting for the dataflow
  • 08 - Email alerts on dataflow success
  • 09 - Email alerts on change in activity status

  • 08 - Conclusion
  • 01 - Summary and next steps
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