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Overview of Course

Apache NiFi is an open-source tool used to automate data flows between systems. Our Apache NiFi training program offers a comprehensive understanding of how to design, develop, and implement data flow architectures using NiFi.

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Course Highlights

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Learn to design, develop, and implement data flow architectures using Apache NiFi

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Gain hands-on experience in building NiFi data pipelines for data ingestion and more

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Understand the concepts of data flow and more




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Skills You’ll Learn

#1

Designing and developing data flow architectures using Apache NiFi

#2

Building NiFi data pipelines for data ingestion, transformation, and routing

#3

Streaming data processing, real-time data ingestion, and IoT data processing using NiFi

#4

Integrating NiFi with other data management tools and technologies

#5

Deployment, monitoring, and management of NiFi instances

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Curriculum

  • Introduction to Big Data processing and Apache Nifi
  • Understanding of the Hadoop ecosystem and its components
  • Introduction to NiFi Web UI and its features

  • Understanding of Big Data technologies and their features
  • Introduction to data ingestion, processing, and storage
  • Big Data processing frameworks such as Hadoop, Spark, and Flink

  • Introduction to automation and its significance in Big Data processing
  • Understanding of automation tools such as Apache Nifi, Airflow, and Jenkins
  • Benefits and drawbacks of automation in Big Data processing

  • Understanding of cluster integration and management in Big Data processing
  • Challenges associated with cluster management and scaling
  • Overview of cluster management tools such as Kubernetes and Docker Swarm

  • Configuration challenges associated with Apache Nifi and their solutions
  • Understanding of Apache Nifi's configuration file structure
  • Configuration of Nifi templates and processors

  • Understanding of the NiFi flow controller and its features
  • Introduction to the FlowFile, Processor, and Connection objects
  • Understanding of the flow control techniques and components

  • Overview of the high-level architecture of Apache Nifi
  • Understanding of Nifi clusters and their components
  • Understanding of the various Nifi extensions and their uses
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Description

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Target Audience:

  • Data Engineers
  • Data Architects
  • Data Analysts
  • Big Data Professionals
  • IT Professionals
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Prerequisite:

  • Basic understanding of programming concepts and data management systems
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Benefits of the course:

  • Gain comprehensive knowledge and hands-on experience in Apache NiFi
  • Enhance your data engineering and data management skills
  • Learn best practices for NiFi deployment, monitoring, and management
  • Increase your career opportunities in Big Data and IT industries
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Exam details to pass the course:

  • There is no exam to pass the course.
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Certification path

  • There are no specific certifications required to learn this course, however, certification in Apache NiFi can be obtained by passing the Apache NiFi certification exam.
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Career options after doing the course:

  • Data Engineer
  • Data Architect
  • Big Data Developer
  • Integration Specialist
  • System Administrator

Why should you take this course from Skillzcafe:

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Why should you take this course from Skillzcafe:
  • Bullet Icon Comprehensive and hands-on training in Apache NiFi
  • Bullet Icon Experienced trainers with real-world experience
  • Bullet Icon Flexibility to choose your learning mode: online, self-paced, or classroom
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  • Bullet Icon Access to learning resources and materials

FAQs

Yes, Apache NiFi is an open-source tool and is free to use.

NiFi is built using Java, and it

Apache NiFi is an open-source data integration platform that allows users to automate the flow of data between disparate systems, with a focus on ease of use and security.

This course is ideal for anyone who wants to learn how to use Apache NiFi to manage and automate data flows, including developers, administrators, and data analysts.

In this course, you will learn the basics of Apache NiFi, including core concepts about big data, the usefulness of automation, cluster integration and associated challenges, configuration challenges, the flow controller, and the high-level architecture of Apache NiFi.

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