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Apache NiFi Training

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Apache NIFI course overview

Apache NiFi is a data logistics platform that automates the transfer of data across different systems. It gives real-time control, making data flow between any source and any destination simple to handle. It allows users to rapidly and accurately design data flows without the need for any programming. This sophisticated program will offer your business a competitive advantage over the competition.

HKR trainings delivers the best industry-oriented Apache Nifi training course, that aids the aspirants to learn and implement Apache Nifi concepts, and assists in clearing the certification exam. This Apache Nifi certification training course provides you in-depth knowledge of the content required for learning Apache Nifi which incorporates the concepts such as Data Lake, Apache NiFi Concepts & Architecture, installation requirements & cluster integration, key features of apache NiFi, querying and buffering data, database connectivity with NiFi, etc. Enroll today at HKR for accepting the new challenges to make the best outcome out of our Apache Nifi online training course.


To apply for the Apache NIFI Training, you need to either:

  • To learn big data Analytics tools you need to know at least one programming language like Java, Python or R.
  • You must also have basic knowledge on databases like SQL to retrieve and manipulate data.
  • You need to have knowledge on basic statistics like progression, distribution, etc. and mathematical skills like linear algebra and calculus.

Apache NIFI Course Content

This Apache Nifi training Course Content's objective is to provide trainees with a thorough understanding of the Apache Nifi technology. Our Course Content includes all of Apache Nifi's modern concepts and keeps you up to date with the latest innovations. To improve your Apache Nifi skills, take a look at the following course modules.

1.1 Introduction to Big Data and Hadoop 

1.2 Overview of various components of the Hadoop ecosystem

2.1 The architecture of Big Data Hadoop 

2.2 The architecture of the Hadoop Distributed File System 

2.3 The Architecture of MapReduce

3.1 Introduction to the Data Lake concept

3.2 Attributes in Data Lake

3.3 Support for colocation of data in various formats 

3.4 Overcoming the problem of data silos

4.1 Data transferring in the Data ingestion layer 

4.2 Different types of data ingestion

5.1 NiFi Processor

5.2 Data ingestion tools

  • Importing
  • Transferring
  • loading and processing of data

5.3 Introduction to Apache NiFi for data ingestion

6.1 Apache NiFi fundamentals

6.2 FlowFile FlowFile 

6.3 FlowFile Processor

6.4 Flow Controller 

6.5 Dataflow Attributes and Functions in Flow Controller

7.1 Introduction to Apache NiFi Architecture

7.2 Various components in Apache NiFi

7.3 FlowFile Repository

7.4 Content Repository

7.5 Provenance Repository

7.6 Web-based user interface

8.1 Apache NiFi installation requirements

8.2 Cluster integration

8.3 How to run Apache NiFi Successfully

8.4 Adding a processor

8.5 Scaling up and down 

8.6 Working with attributes

9.1 Important features of Apache NiFi

9.2 The dataflow function

9.3 Various aspects of FlowFile

9.4 File Professor

9.5 Flow Controller

9.6 Processor group and connection

10.1 Data buffering in Apache NiFi

10.2 The concept of queuing

10.3 Latency and recovery

10.4 Working with directed graphs

10.5 Controller services

10.6 Data routing and transformation 

10.7 Processor configuration

10.8 Connection and addition

11.1 Connecting NiFi to the Database

11.2 Transforming, Splitting, and Aggregating Data 

11.3 Data egress processing

11.4 NiFi monitoring

11.5 Reporting

11.6 Data lineage

11.7 NiFi administration 

11.8 Expression language

12.1 Various best practices in Apache NiFi configuration

12.2 ZooKeeper access and properties

12.3 Encryption

12.4 The custom properties

12.5 Guidelines for developers

12.6 NiFi Kerberos interface 

12.7 Data security in Hadoop

12.8 Installation of Apache NiFi, 

12.9 Configuration

12.10 Deploying the toolbar

12.11 Building a dataflow using NiFi

12.12 Working with various templates

  • Creating, Exporting & Importing them to construct a dataflow

12.13 Deploying batch ingestion and real-time ingestion in Apache NiFi

Apache NIFI projects

NiFi Project

Installing Apache NiFi, configuring it, deploying the toolbar, generating a data flow using NiFi, and working with different templ.....ates by creating, exporting, and importing them are all covered. Read more

Apache NIFI Training Options


  • Interactive sessions
  • Learn by doing
  • Instant doubt resolution
  • Expert's Guidance
  • Industry-ready skills
Batch Start Date Time
Fast Track 21-Jun - 11-Jul 09:30 AM IST
Weekday 25-Jun - 25-Jul 11:30 AM IST
Weekend 29-Jun - 29-Jul 01:30 PM IST


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Our Learners

Harshad Gaikwad

Harshad Gaikwad

Practice Head

I had an insightful experience with HKR Trainings while participating in the ServiceNow ITOM (IT Operations Management) Training online. Engaging in instructor-led sessions, the trainer offered detailed insights into various ServiceNow ITOM modules and practices. Throughout the course, the support team was consistently available, and the trainer adeptly clarified all my inquiries, ensuring a comprehensive understanding of ServiceNow ITOM concepts.
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Balaji Gnanasekar

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I had a comprehensive learning journey with HKR Trainings while undertaking the PostgreSQL Training online. Engaging in instructor-led sessions, the trainer delved deep into various PostgreSQL functionalities and best practices. Throughout the training, the support team remained attentive, and the trainer skillfully addressed all my questions, facilitating a solid grasp of PostgreSQL concepts.
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Amit Singh

Technical Lead - Service Now

I had a rewarding experience with HKR Trainings while delving into the ServiceNow ITOM (IT Operations Management) Training online. Engaging in instructor-led sessions, the trainer provided comprehensive insights into various ServiceNow ITOM modules and best practices. Throughout the course, the support team was consistently available, and the trainer adeptly addressed all my queries, ensuring a robust understanding of ServiceNow ITOM concepts.

Apache NIFI online training Objectives

The following concepts of Apache Nifi training will be mastered with our training:

  • Introduction to Big Data, Apache Hadoop, and NiFi.
  • HDFS and MapReduce's high-level architecture.
  • NiFi installation and cluster integration
  • Apache NiFi's FlowFile Processor and Flow Controller.
  • Database aggregating, splitting, and transforming.
  • Best practices in Apache NiFi configuration.

The Apache Nifi Training course is ideal for:

  • Big Data Hadoop Developers. 
  • Architects and other professionals.
  • Testing Professionals.
  • Project Managers.
  • Messaging and Queuing System Professionals.

It is not necessary to have any prior knowledge of Apache NiFi to learn it. However, having a basic knowledge of the Linux command line might be beneficial.

To start with the Apache Nifi training course, you need to check with the best institute that delivers knowledge. Before proceeding to join any training, take suggestions from the experts who had already learned the course. We at HKR, with a team of industry experts, are ready to fulfill your dream career to achieve a job in desired companies.

Once you complete the entire course along with real-time projects and assignments, HKR delivers the course completion certification. This certification helps to get a job in any company very quickly.

Our trainers are highly qualified and certified with many years of industry experience with a technical background in Apache Nifi.

Certification differentiates you from the non-certified peers, and you can demand the best salary in the leading companies.

We, at HKR, provide complete guidance to reach your dream job. But your job will be based on your performance in the interview panel and the recruiter requirements.


Each and every class is recorded so if you missed any class you can review the recordings and clarify any doubts with the trainer in next class.

Yes, we don’t assure 100% placement assistance. We are tied up with some corporate companies so when they have a requirement we send your profiles to them.

Yes, we provide demo before starting any training in which you can clear all your doubts before starting training.

Our trainers are real time experts who are presently working on particular platform on which they are providing training.

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Max of the students get satisfied with our training, if you are not then we provide a specialised training in return.

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