Apache NiFi for Administrators

• Experience with Linux command line.

Audience

• System administrators
• Data engineers
• Developers
• DevOps

Apache NiFi (Hortonworks DataFlow) is a real-time integrated data logistics and simple event processing platform that enables the moving, tracking and automation of data between systems. It is written using flow-based programming and provides a web-based user interface to manage dataflows in real time.

In this instructor-led, live training (onsite or remote), participants will learn how to deploy and manage Apache NiFi in a live lab environment.

By the end of this training, participants will be able to:

• Install and configure Apachi NiFi.
• Source, transform and manage data from disparate, distributed data sources, including databases and big data lakes.
• Automate dataflows.
• Enable streaming analytics.
• Apply various approaches for data ingestion.
• Transform Big Data and into business insights.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Apache NiFi   

• Data at rest vs data in motion

Overview of Big Data and Apache Hadoop

• HDFS and MapReduce architecture

Setting up and Running a NiFi Cluster

• Cluster Integration
• Load Balancing/Redundancy
• Mass Orchestration of NiFi (via Ansible)

NiFi Operations

• Database Aggregating, Splitting and Transforming
• Data Extractions, Logging, etc.
• Integrating with Splunk (optional)

Monitoring and Recovery

• Recovering without Data Loss
• Autonomous Recovery

Optimizing NiFI

• Performance tuning
• Optimizing Nifi Setup

Best practices

Troubleshooting

Summary and Conclusion