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INSTRUCTOR-LED COURSE

HDF NiFi Flow Management

Course Information

Duration: 3 days

Version: HW ADM-301

Price: $2,295.00

Exam:

Certification:

Learning Credits:

ALL DATES GUARANTEED

Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.

COURSE DELIVERY OPTIONS

  • Live Classroom

Train face-to-face with the live instructor.

  • Established HD-ILT Location

Interact with a live, remote instructor from a specialized, HD-equipped classroom near you.​

  • Virtual Remote

Attend the live class from the comfort of your home or office.

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OVERVIEW

This course is designed for Data Stewards or Data Flow Managers who are looking forward to automate the flow of data between systems. Topics Include Introduction to NiFi, Installing and Configuring NiFi, Detail explanation of NiFi User Interface, Explanation of its components and Elements associated with each. How to Build a dataflow, NiFi Expression Language, Understanding NiFi Clustering, Data Provenance, Security around NiFi, Monitoring Tools and HDF best practices.

Prerequisites:

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/NiFi experience required, but is very helpful.

 

Target Audience:

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

 

Course Objectives:

  • Introduction to Enterprise Data Flow
  • What's New in HDF 3.0
  • HDF 3.0 Architecture and Features
  • Installing and Configuring HDF NiFi
  • NiFi User Interface
  • Summary and History
  • Anatomy of a Processor
  • Anatomy of a Connection
  • Controller Services and Reporting Tasks
  • Building a NiFi Data Flow
  • Command and Control of a NiFi Data Flow
  • Anatomy of a Processor Group

 

Course Outine:

Day 1 Objectives
  • Introduction to Enterprise Data Flow
  • What’s new in HDF 3.0
  • HDF 3.0 Architecture and Features
  • HDF System Requirements
  • Install and Configure HDF [NiFi]
  • Describe NiFi User Interface in detail
  • Describe NiFi UI Summary and History section
  • Describe Anatomy of a Processor
  • Describe Anatomy of a Connection
  • Describe Controller Services and Reporting Tasks
  • Learn How to Build a NiFi Data Flow
  • Command and Control of a NiFi Data Flow
  • Describe Anatomy of a Process Group
Day 1 Labs and Demonstration
  • Installing and Starting HDF with Ambari
  • Demonstration: NiFi User Interface in detail
  • Building a NiFi Dataflow
  • Working with NiFi Process Groups
Day 2 Objectives
  • Anatomy of a Remote Processor Group
  • Remote Processor Group Transmission
  • NiFi Site-to-Site Communication
  • Describe the Function and Purpose of the NiFi Expression Language
  • Structure of a NiFi Expression
  • How to Use Expression Language Functions
  • Using Expression Language Editor
  • Using If/Then/Else in NiFi Expression Language
  • Using Attributes and Properties
  • Create, Manage and Instantiate a NiFi Templates
  • How to optimize an HDF Data Flow
  • Define Data Provenance and Data Provenance Events
  • Describe NiFi Cluster and State Management
  • Describe Cluster Setup and Management via NiFi UI
  • Explain the Mechanisms Available for NiFi Monitoring
Day 2 Labs and Demonstrations
  • Working with Remote Processor Groups Site-to Site
  • Working with the NiFi Expression Language
  • Demonstration: Working with Attributes
  • Demonstration: Working with Templates
  • Demonstration: Data Provenance
  • Working with NiFi Clusters
  • Demonstration: NiFi Notification Services
  • Demonstration: NiFi Monitoring
  • Advanced NiFi Monitoring
Day 3 Objectives
  • Describe How HDF Complements the Hortonworks Data Platform (HDF)
  • Describe how Big Data Ingestion is possible with HDF
  • Describe HDF Configuration Best Practices
  • Describe the Process of Securing HDF with 2-Way-SSL
  • Describe LDAP User Authentication with NiFi
  • Describe Kerberos Authentication with NiFi
  • Describe HDF Multi-tenancy
  • Describe how File Based Authorizer in NiFi works
  • Describe how Ranger Based Authorizer in NiFi works
  • Describe the Architecture of Authorization Via the Ranger-NiFi Plug-in
  • List the Installation Prerequisites, configure and Install Ranger
  • Describe how to create Ranger policies for NiFi
Day 3 Labs and Demonstrations
  • Integrating HDF with HDP
  • Securing HDF with 2-way SSL Using Ambari
  • NiFi User Authentication with LDAP
  • Installing Ranger and Configuring NiFi with Kerberos
  • Working with File Based Authorization in NiFi
  • Working with Ranger Based Authorization in NiFi

 

 

What's Included With This Class?

This course includes a 365-day membership to our neXT Learning Community!  You will join thousands of other neXT members allowing you to interact with other IT professionals, get your questions answered, and achieve your learning goals.  Upon registration, you will get immediate access to the following resources:

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