Free Course - Apache NiFi - A Complete Guide (Hortonworks Data Platform) [2020]
Apache NiFi is a robust Data Ingestion, Distribution framework & ETL Option. NiFi the core of Hortonworks Data Platform.
Instructor: Manoj G T
About this Course
Congratulations! You've found the most popular, most complete, and most up to date resource online for learning Apache NiFi.
What is Apache NiFI?
Apache NiFi is a robust Data Ingestion, Distribution framework & ETL Option. Apache NiFi is the core of the Hortonworks Data Platform. It can propagate any data content from any source to any destination.
NiFi enables the collection, curation, analysis, and action on any data anywhere (edge, cloud, data center) with built-in end-to-end security and provenance. These unique set of features makes NiFi the best choice for implementing new data-centric use cases that require geographically distributed architectures and high levels of SLA (availability, security, and performance).
NiFi is based on a different programming paradigm called Flow-Based Programming (FBP).
It is one of the fastest-growing Apache Projects and expected to grow exponentially in the coming few years.
Right Time For You To Start Your Big Data Journey
The Big Data job market is still hot. Big Data positions are tough to fill, demand for experienced Big Data engineers is intense, knowledge premiums are high, and more and more people are picking up Big Data skills in hopes of making more money.
The field of big data is quite vast, and it can be a very daunting task for anyone who starts learning big data & its related technologies. The big data technologies are numerous, and it can be overwhelming to decide where to begin. There is a lot of scope for big data and its related technologies like Hadoop, HDFS, MapReduce, Hive, Spark, Flink, Kafka, Elastic Search, etc.
So, start your BigData journey today by learning about Apache NiFi which can integrate well with almost all the popular big data technologies like Hadoop, HDFS, MapReduce, Hive, Spark, Flink, Kafka, Elastic Search, etc.
What This Course Delivers, and Who is it for?
I have created this course for all skill levels. You may be entirely new for Data Flow or Data Pipeline world. You may be already using any other Commercial ETL Tool and want to move to an Open Source solution.
I have kept the course with the right balance between theory and hand-on, which makes it the Ultimate Guide for Beginners. I also kept the course relatively short to kept it interactive and delivered the required skills you need to start working with Apache NiFi.
"In this course, we will focus only on Apache NiFi and the various features of NiFi. We will not focus on any other specific big data technology integration with NiFi. But by the end of this course, you will have all the required skill sets to work on your Big Data Pipeline / ETL requirements using NiFi".
"What are you waiting for? Enroll Now !" and become an Apache NiFi Expert (From Zero to Hero) in less than 3 hours.
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This course curriculum includes:
1) Apache NiFi Introduction
2) Apache NiFi Installation
3) Apache NiFi Basics
4) Hands-on with Apache NiFi
5) Apache NiFi Advanced Concepts (Data Provenance, Back Pressure, Prioritization, Expiration, etc.)
6) Monitoring in NiFi
7) NiFi Registry for Version Control
8) NiFi Custom Processors
9) NiFi in Cluster-Mode
Whom isn't this course meant?
This course is not for students who already know all the topics given in the course curriculum and looking for a more hand-on oriented class or various integration examples using NiFi and other Big Data technologies like Hadoop, HDFS, MapReduce, Hive, Spark, Flink, Kafka, Elastic Search, etc.
About the Instructor
I'm a Big Data Evangelist, JavaScript Lover, Web Developer & Performance Freak. I'm passionate about programming since I was 14, and I'm always willing to learn new things and continue to seek to improve myself.
I have decided to teach what I have learned and started to train in Eduonix & YouTube.
"My main objective is to provide high-quality course content to all my students in an easy and understanding way."
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