Apache NiFi consist of a web server, flow controller and a processor, which runs on Java Virtual Machine. It also has 3 repositories Flowfile Repository, Content Repository, and Provenance Repository as shown in the figure below.

1.1

Flowfile Repository

This repository stores the current state and attributes of every flowfile that goes through the data flows of apache NiFi. The default location of this repository is in the root directory of apache NiFi. The location of this repository can be changed by changing the property named “nifi.flowfile.repository.directory”.

Content Repository

This repository contains all the content present in all the flowfiles of NiFi. Its default directory is also in the root directory of NiFi and it can be changed using “org.apache.nifi.controller.repository.FileSystemRepository” property. This directory uses large space in disk so it’s advisable to have enough space in the installation disk.

Provenance Repository

The repository tracks and stores all the events of all the flowfiles that flow in NiFi. There are two provenance repositories – volatile provenance repository (in this repository all the provenance data get lost after restart) and persistent provenance repository. Its default directory is also in the root directory of NiFi and it can be changed using “org.apache.nifi.provenance.PersistentProvenanceRepository” and “org.apache.nifi.provenance.VolatileProvenanceRepositor” property for the respective repositories.

1.2 1

Apache NiFi – Environment Setup

In this chapter, we will learn about the environment setup ofApache NiFi. The steps for installation of Apache NiFi are as follows −

Step 1 − Install the current version of Java in your computer. Please set theJAVA_HOME in your machine. You can check the version as shown below:

In Windows Operating System (OS) (using command prompt) −

> java -version

In UNIX OS (Using Terminal):

$ echo $JAVA_HOME

Step 2 − DownloadApache NiFi from https://nifi.apache.org/download.html

For windows OSdownload ZIP file.
For UNIX OSdownload TAR file.
For docker images,go to the following link https://hub.docker.com/r/apache/nifi/.

Step 3 − The installation process for Apache NiFi is very easy. The process differs with the OS −

Windows OS − Unzip the zip package and the Apache NiFi is installed.
UNIX OS − Extract tar file in any location and the Logstash is installed.

$tar -xvf nifi-1.6.0-bin.tar.gz

Step 4 − Open command prompt, go to the bin directory of NiFi. For example, C:\nifi-1.7.1\bin, and execute run-nifi.bat file.

C:\nifi-1.7.1\bin>run-nifi.bat

Step 5 − It will take a few minutes to get the NiFi UI up. A user cancheck nifi-app.log, once NiFi UI is up then, a user can enter http://localhost:8080/nifi/ to access UI.

So, this brings us to the end of Deep Dive into Apache NiFi User Interface blog. This Tecklearn ‘Deep Dive into Apache NiFi User Interface’ helps you with commonly asked questions if you are looking out for a job in Apache NiFi and Big Data Domain.

If you wish to learn Apache NiFi and build a career in Apache NiFi or Big Data domain, then check out our interactive, Apace NiFi Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

https://www.tecklearn.com/course/apache-nifi-training/

Apache NiFi Training

About the Course

Tecklearn Apache NiFi Training makes you an expert in Cluster integration and the challenges associated, Usefulness of Automation, Apache NiFi configuration challenges and etc. Apache NiFi that helps you master various aspects of automating dataflow, managing flow of information between systems, streaming analytics, the concepts of data lake and constructs, various methods of data ingestion and real-world Apache NiFi projects .Transforming the databases is becoming a challenge for many organizations and thus they often look for those who have certification in Apache NiFi to help them in automating the flow of data between the systems.

Why Should you take Apache NiFi Training?

The Average Salary for Apache NiFi Developers is $96,578 per year. – paysa.com
Micron, Macquarie Telecom Group , Dovestech, Payoff, Flexilogix , Hashmap Inc. & many other MNC’s worldwide use Ansible across industries.
Apache NiFi is an open source software for automating and managing the flow of data between systems. It is a powerful and reliable system to process and distribute data. It provides a web-based User Interface for creating, monitoring, & controlling data flows.

What you will Learn in this Course?

Overview of Apache NiFi and its capabilities

Understanding the Apache NiFi
Apache NiFi most interesting features and capabilities

High Level Overview of Key Apache NiFi Features

Key features categories: Flow management, Ease of use, Security, Extensible architecture and Flexible scaling model

Advantages of Apache NiFi over other traditional ETL tools

Features of NiFi which make it different form traditional ETL tool and gives NiFi an edge over them

Apache NiFi as a Data Ingestion Tool

Introduction to Apache NiFi for data ingestion
Apache NiFi Processor : Data ingestion tools available for transferring , importing , loading and processing of data

Data Lake Concepts and Constructs (Big Data & Hadoop Environment)

Concept of data lake and its attributes
Support for colocation of data in various formats and overcoming the problem of data silos

Apache NiFi capabilities in Big Data and Hadoop Environment

Introduction to NiFi processors which sync with data lake and Hadoop ecosystem
An overview of the various components of the Hadoop ecosystem and data lake

Installation Requirements and Cluster Integration

Apache NiFi installation requirements and cluster integration
Successfully running Apache NiFi and addition of processor to NiFi
Working with attributes and Process of scaling up and down
Hands On

Apache NiFi Core Concepts

Apache NiFi fundamental concepts
Overview of FlowFile, Flow Controller ,FlowFile Processor, and their attributes
Functions in dataflow

Architecture of Apache NiFi

Architecture of Apache NiFi
Various components including FlowFile Repository, Content Repository, Provenance Repository and web-based user interface
Hands On

Performance Expectation and Characteristics of NiFi

How to utilize maximization of resources is particularly strong with respect to CPU and disk
Understand the best practices and configuration tips

Queuing and Buffering Data

Buffering of Data in Apache NiFi
Concept of queuing, recovery and latency
Working with controller services and directed graphs
Data transformation and routing
Processor connection, addition and configuration
Hands On

Database Connection with Apache NiFi

Apache NiFi Connection with database
Data Splitting, Transforming and Aggregation
Monitoring of NiFi and process of data egress
Reporting and Data lineage
Expression language and Administration of Apache NiFi
Hands On

Apache NiFi Configuration Best Practices

Apache NiFi configuration Best Practices
ZooKeeper access, properties, custom properties and encryption
Guidelines for developers
Security of Data in Hadoop and NiFi Kerberos interface
Hands On

Apache NiFi Project

Apache NiFi Installation
Configuration and Deployment of toolbar
Building a dataflow using NiFi
Creating, importing and exporting various templates to construct a dataflow
Deploying Real-time ingestion and Batch ingestion in NiFi
Hands On

Got a question for us? Please mention it in the comments section and we will get back to you.

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