S.No	Property name	Default Value	Description
1	nifi.flow.configuration.file	./conf/flow.xml.gz	This property contains the path to flow.xml file. This file contains all the data flows created in NiFi.
2	nifi.flow.configuration.archive.enabled	true	This property is employed to enable or disable archiving in NiFi.
3	nifi.flow.configuration.archive.dir	./conf/archive/	This property is employed to specify the archive directory.
4	nifi.flow.configuration.archive.max.time	30 days	This is employed to specify the retention time for archiving content.
5	nifi.flow.configuration.archive.max.storage	500 MB	it contains the maximum size of archiving directory can grow.
6	nifi.authorizer.configuration.file	./conf/authorizers.xml	To specify the authorizer configuration file, which is employed for user authorization.
7	nifi.login.identity.provider.configuration.file	./conf/login-identity-providers.xml	This property contains the configuration of login identity providers,
8	nifi.templates.directory	./conf/templates	This property is employed to specify the directory, where NiFi templates will be stored.
9	nifi.nar.library.directory	./lib	This property contains the path to library, which NiFi will use to load all the components using NAR files present in this lib folder.
10	nifi.nar.working.directory	./work/nar/	This directory will be storing the unpacked nar files, once NiFi processes them.
11	nifi.documentation.working.directory	./work/docs/components	This directory contains the documentation of all components.

State Management

These properties are employed to store the state of the components helpful to start the processing, where components left after a restart and within the next schedule running.

S.No	Property name	Default Value	Description
1	nifi.state.management.configuration.file	./conf/state-management.xml	This property contains the path to state-management.xml file. This file contains all component state present within the data flows of that NiFi instance.
2	nifi.state.management.provider.local	local-provider	It contains the ID of the local state provider.
3	nifi.state.management.provider.cluster	zk-provider	This property contains the ID of the cluster-wide state provider. This will be ignored if NiFi is not clustered but must be populated if running in a cluster.
4	nifi.state.management. embedded. zookeeper. start	false	This property specifies whether or not this instance of NiFi should run an embedded ZooKeeper server.
5	nifi.state.management. embedded. zookeeper.properties	./conf/zookeeper.properties	This property contains the path of the properties file that provides the ZooKeeper properties to use if <nifi.state.management. embedded. zookeeper. start> is set to true.

FlowFile Repository

Let us now look into the important details of the FlowFile repository −

S.No	Property name	Default Value	Description
1	nifi.flowfile.repository. implementation	org.apache.nifi. controller. repository. WriteAhead FlowFileRepository	This property is employed to specify either to store the flowfiles in memory or disk. If a user want to stores the flowfiles in memory then change to “org.apache.nifi.controller. repository.VolatileFlowFileRepository”.
2	nifi.flowfile.repository.directory	./flowfile_repository	To specify the directory for flowfile repository.

So, this brings us to the end of Deep Dive into Apache NiFi User Interface blog. This Tecklearn ‘How to Configure Apache NiFi’ 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?

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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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