Introduction to Apache NiFi | Cloudera DataFlow - HDF 2.0

Apache NiFi - An Introductory Course to Learn Installation, Basic Concepts and Efficient Streaming of Big Data Flows

4.45 (5125 reviews)

Udemy

platform

English

language

Databases

What you will learn

Install and configure Apache NiFi

Design Apache NiFi Architecture

Master core functionalities like FlowFile, FlowFile Processor, Connection, Flow Controller, Process Groups, etc.

Use NiFi to stream Data between different systems at scale

Monitor Apache NiFi

Integrate NiFi with Apache Kafka

Integration NiFi with MongoDB

Charts

Students

Price

Rating & Reviews

Enrollment Distribution

Comidoc Review

Our Verdict

Apache NiFi - An Introductory Course to Learn Installation, Basic Concepts and Efficient Streaming of Big Data Flows is a solid starting point for anyone looking to understand the fundamentals of Apache NiFi. While it offers valuable insights and practical examples, users may need to supplement their learning with additional resources or practical experience to fully grasp processor use cases, real-life scenarios, and production best practices.

What We Liked

Comprehensive introduction to Apache NiFi, covering installation, basic concepts, data streaming, and integration with Kafka and MongoDB
Clear explanations that are easy to understand, making it accessible for non-technical individuals
Includes practical examples and exercises, which help reinforce understanding of the material
Instructor is knowledgeable and experienced in NiFi, providing insights based on real-life usage in various industries

Potential Drawbacks

Some users may find that the course does not go in-depth enough, particularly for those with prior experience using similar tools
Limited coverage of processor use cases and real-life scenarios, which could make it challenging to apply concepts in practice
Instructions for installing NiFi are not detailed enough for some users, resulting in issues during setup
A more advanced course that covers NiFi's cluster mode, scaling techniques, and production best practices would be beneficial