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
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 hoursApache 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 hoursAudience: 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 hoursThe 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 hoursApache 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 hoursApache 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 hoursApache 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 hoursApache 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 hoursHadoop is the most popular Big Data processing framework.
Hadoop Administration on MapR
28 hoursAudience: This course is intended to demystify big data/hadoop technology and to show it is not difficult to understand.
HBase for Developers
21 hoursThis 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 hoursHortonworks 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 hoursThis 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 hoursCloudera 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 hoursAudience Developers Format of the Course Lectures, hands-on practice, small tests along the way to gauge understanding
Apache NiFi for Developers
7 hoursApache 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