HDF Operations: Hortonworks Data Flow Training

Students should be familiar with programming principles and have previous experience in software development. Experience with Linux and a basic understanding of DataFlow tools would be helpful. No prior Hadoop experience required, but is very helpful.

Data Engineers, Integration Engineers and Architects who are looking to automate Data flow between systems.

At the completion of the course students will be able to:

• Describe HDF, Apache NiFi and its use cases
• Describe NiFi Architecture
• Understand Nifi Features and Characteristics
• Understand System requirements to run Nifi
• Understand Installing and Configuring NiFi
• Understand the NiFi user interface in depth
• Understand how to build a DataFlow using NiFi
• Understand the Processor and its Elements
• Understand the Connection and its Elements
• Understand the Processor Group and its elements
• Understand the Remote Processor Group and its Elements
• Learn how to optimize a DataFlow
• Learn how to use the NiFi Expression language
• Learn about Attributes and Templates in NiFi
• Understand the Concepts of NiFi Cluster
• Explain Data Provenance in NiFi
• Learn how to Secure NiFi
• Learn How to effectively Monitor NiFi
• Learn about HDF Best Practices

• Manual Installation of NiFi
• Building a WorkFLow
• Working with Processor Groups
• Working with Remote Processor Groups
• Using NiFi Expression Language
• Understanding and using Templates
• Installing and Configuring NiFi Cluster
• Securing NiFi
• Monitoring NiFi
• End Of the Course Project