HDF NiFi Flow Management, New Zealand

We can host this training at your preferred location. Contact us!

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.

Attendess 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.

Format:
50% Lecture/Discussion
50% Hands-on-labs

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

Introduction to NiFi,
NiFi Installation and Configuration,
Detailed description of the NiFi User Interface
How to create a data stream
NiFi Expression Language,
Understanding NiFi Clustering,
Data Source,
The security around the NiFi,
Monitoring Tools,
HDF best practices.

01-Lab Installing HDF With Apache Ambari
02-Demo NiFi User Interface
03-Lab Building ANiFi Data Flow
04-Lab Working With Processor Group
05-Lab Working With Remote ProcessorGroup
06-Lab NiFi Expression Language
07-Demo Working With Attributes
08-Demo Working WithTemplates
09-Demo Data Provenance
10-Lab Working With NiFi Cluster
11-Demo NiFi Monitoring
12-Demo NiFi Notification Services
13-Lab Advanced NiFi Monitoring
14-Lab HDF Integration With HDP
15-Lab Securing HDF with 2 Way SSL Using Ambari
16-Lab-NiFi User Authentication With LDAP
17-Lab RangerI nstall And Configuring NiFi With Kerberos
18-Lab File Based AuthorizationInNiFi
19-Lab Ranger Based Authorization In NiFi

Upcoming Trainings

Join our public courses in our New Zealand facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom

19 May 2024