Course Outline

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

Requirements

  • Experience with Linux command line.

Audience

  • System administrators
  • Data engineers
  • Developers
  • DevOps
  21 Hours
 

Need help picking the right course?
Call us +971 4871 6715

Testimonials

Training topics and engagement of the trainer

- Izba Administracji Skarbowej w Lublinie

Communication with people attending training.

Andrzej Szewczuk - Izba Administracji Skarbowej w Lublinie

usefulness of exercises

- Algomine sp.z.o.o sp.k.

I really enjoyed the training. Anton has a lot of knowledge and laid out the necessary theory in a very accessible way. It is great that the training was a lot of interesting exercises, so we have been in contact with the technology we know from the very beginning.

Szymon Dybczak - Algomine sp.z.o.o sp.k.

The trainers in depth knowledge of the subject

CACI Ltd

Ajay was a very experienced consultant and was able to answer all our questions and even made suggestions on best practices for the project we are currently engaged on.

CACI Ltd

The NIFI workflow excercises

Politiets Sikkerhetstjeneste

answers to our specific questions

MOD BELGIUM

Related Courses

Apache Ambari: Efficiently Manage Hadoop Clusters

 21 hours

Apache Ambari is an open-source management platform for provisioning, managing, monitoring and securing Apache Hadoop clusters. In this instructor-led live training participants will learn the management tools and practices provided by Ambari to

Administrator Training for Apache Hadoop

 35 hours

Audience: The course is intended for IT specialists looking for a solution to store and process large data sets in a distributed system environment Goal: Deep knowledge on Hadoop cluster

Hadoop Administration

 21 hours

The course is dedicated to IT specialists that are looking for a solution to store and process large data sets in distributed system environment Course goal: Getting knowledge regarding Hadoop cluster

Hadoop For Administrators

 21 hours

Apache Hadoop is the most popular framework for processing Big Data on clusters of servers. In this three (optionally, four) days course, attendees will learn about the business benefits and use cases for Hadoop and its ecosystem, how to plan

Hadoop for Business Analysts

 21 hours

Apache Hadoop is the most popular framework for processing Big Data. Hadoop provides rich and deep analytics capability, and it is making in-roads in to tradional BI analytics world. This course will introduce an analyst to the core components of

Hadoop for Developers (4 days)

 28 hours

Apache Hadoop is the most popular framework for processing Big Data on clusters of servers. This course will introduce a developer to various components (HDFS, MapReduce, Pig, Hive and HBase) Hadoop

Advanced Hadoop for Developers

 21 hours

Apache Hadoop is one of the most popular frameworks for processing Big Data on clusters of servers. This course delves into data management in HDFS, advanced Pig, Hive, and HBase.  These advanced programming techniques will be beneficial to

Hadoop for Developers and Administrators

 21 hours

Hadoop is the most popular Big Data processing framework.

Hadoop Administration on MapR

 28 hours

Audience: This course is intended to demystify big data/hadoop technology and to show it is not difficult to understand.

HBase for Developers

 21 hours

This course introduces HBase – a NoSQL store on top of Hadoop.  The course is intended for developers who will be using HBase to develop applications,  and administrators who will manage HBase clusters. We will walk a developer

Hortonworks Data Platform (HDP) for Administrators

 21 hours

Hortonworks Data Platform (HDP) is an open-source Apache Hadoop support platform that provides a stable foundation for developing big data solutions on the Apache Hadoop ecosystem. This instructor-led, live training (online or onsite) introduces

Data Analysis with Hive/HiveQL

 7 hours

This course covers how to use Hive SQL language (AKA: Hive HQL, SQL on Hive, HiveQL) for people who extract data from Hive

Impala for Business Intelligence

 21 hours

Cloudera Impala is an open source massively parallel processing (MPP) SQL query engine for Apache Hadoop clusters. Impala enables users to issue low-latency SQL queries to data stored in Hadoop Distributed File System and Apache

Apache Avro: Data Serialization for Distributed Applications

 14 hours

Audience Developers Format of the Course Lectures, hands-on practice, small tests along the way to gauge understanding

Apache NiFi for Developers

 7 hours

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