HDF NiFi Flow Management Training

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