Cloudera DataFlow: Flow Management with Apache NiFi

Cloudera DataFlow: Flow Management with Apache NiFi Certification Training Course Overview

This course provides the fundamental concepts and experience necessary to automate the ingress, flow, transformation, and egress of data using Apache NiFi.Participants will create and run NiFi dataflows for a variety of scenarios. Students will gain expertise using processors, connections, and process groups, and will use NiFi Expression Language to control the flow of data from various sources to multiple destinations. Participants will monitor dataflows, examine progress of data through a dataflow, and connect dataflows to external systems such as Kafka, HDFS, and HBase. 

Target Audience

  • Developers
  • Data Engineers
  • Data Scientists
  • Data Stewards

Learning Objectives

  • Understand the role of Apache NiFi and MiNiFi in the Cloudera DataFlow platform
  • Describe NiFi’s architecture, including standalone and clustered configurations
  • Use key features, including FlowFiles, processors, process groups, controllers, and connections, to define a NiFi dataflow
  • Navigate, configure dataflows, and use dataflow information with the NiFi User Interface
  • Trace the life of data, its origin, transformation, and destination, using data provenance
  • Organize and simplify dataflows
  • Manage dataflow versions using the NiFi Registry
  • Use the NiFi Expression Language to control dataflows
  • Implement dataflow optimization methods and available monitoring and reporting features
  • Connect dataflows with other systems, such as Kafka and HDFS
  • Describe aspects of NiFi security

Cloudera DataFlow: Flow Management with Apache NiFi (24 Hours) Download Course Contents

Live Virtual Classroom Fee For Both Group Training & 1-on-1 Training On Request
Group Training
08 - 10 Aug 09:00 AM - 05:00 PM CST
(8 Hours/Day)

06 - 08 Sep 09:00 AM - 05:00 PM CST
(8 Hours/Day)

1-on-1 Training (GTR)
4 Hours
8 Hours
Week Days
Week End

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12 AM
12 PM

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Course Prerequisites

Though programming experience is not required, basic experience with Linux is presumed. Exposure to big data concepts and applications is helpful.