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Introduction to Apache NiFi - Cloudera DataFlow HDF 2.0

  • Development
  • Dec 01, 2024
SynopsisIntroduction to Apache NiFi | Cloudera DataFlow – HDF 2...
Introduction to Apache NiFi - Cloudera DataFlow HDF 2.0  No.1

Introduction to Apache NiFi | Cloudera DataFlow – HDF 2.0, available at $79.99, has an average rating of 4.38, with 23 lectures, 3 quizzes, based on 4917 reviews, and has 20492 subscribers.

You will learn about Install and configure Apache NiFi Design Apache NiFi Architecture Master core functionalities like FlowFile, FlowFile Processor, Connection, Flow Controller, Process Groups, etc. Use NiFi to stream Data between different systems at scale Monitor Apache NiFi Integrate NiFi with Apache Kafka Integration NiFi with MongoDB This course is ideal for individuals who are Beginners who want to get started on learning Apache NiFi or Architects who want to get an overview of Apache NiFi It is particularly useful for Beginners who want to get started on learning Apache NiFi or Architects who want to get an overview of Apache NiFi.

Enroll now: Introduction to Apache NiFi | Cloudera DataFlow – HDF 2.0

Summary

Title: Introduction to Apache NiFi | Cloudera DataFlow – HDF 2.0

Price: $79.99

Average Rating: 4.38

Number of Lectures: 23

Number of Quizzes: 3

Number of Published Lectures: 23

Number of Published Quizzes: 3

Number of Curriculum Items: 26

Number of Published Curriculum Objects: 26

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

  • Install and configure Apache NiFi
  • Design Apache NiFi Architecture
  • Master core functionalities like FlowFile, FlowFile Processor, Connection, Flow Controller, Process Groups, etc.
  • Use NiFi to stream Data between different systems at scale
  • Monitor Apache NiFi
  • Integrate NiFi with Apache Kafka
  • Integration NiFi with MongoDB
  • Who Should Attend

  • Beginners who want to get started on learning Apache NiFi
  • Architects who want to get an overview of Apache NiFi
  • Target Audiences

  • Beginners who want to get started on learning Apache NiFi
  • Architects who want to get an overview of Apache NiFi
  • Apache NiFi (Cloudera DataFlows – ex Hortonworks DataFlow) is an innovative technology to build data flows and solve your streaming challenges?

    In today’s big data world, fast data is becoming increasingly important. Streaming data at scale and rapidly between all your systems should be centralised, automated and resilient to failure to ensure good delivery to your downstream systems.

    With NiFi, you can build all your flows directly from a UI, no coding required, and at scale!

    Apache NiFi initially used by the NSA so they could move data at scale and was then open sourced. Being such a hot technology, Onyara (the company behind it) was then acquired by Hortonworks, one of the main backers of the big data project Hadoop and then Hadoop Data Platform.

    Apache NiFi is now used in many top organisations that want to harness the power of their fast data by sourcing and transferring information from and to their database and big data lakes. It is a key tool to learn for the analyst and data scientists alike. Its simplicity and drag and drop interface make it a breeze to use!

    You can build streaming pipelines between Kafka and ElasticSearch, an FTP and MongoDB, and so much more! Your imagination is the limit

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    Quick Overview Of Course Content

    This course will take you through an introduction of the Apache NiFi technology.

    With a mix of theory lessons and hands-on labs, you’ll get started and build your first data flows.

    You will learn how to set up your connectors, processors, and how to read your FlowFiles to make most of what NiFi offer.

    The most important configuration options will be demonstrated so you will be able to get started in no time.

    We will also analyse a template picked from the web and understand how to debug your flows as well as route your data to different processors based on outcomes through relationships.

    We will finally learn about the integrations between NiFi and Apache Kafka or MongoDB. Lots of learning ahead!

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    Why I should take this course?

  • With over 1.5 hours of videos and over 15 classes, you will get a great understand of Apache NiFi in no time!

  • You will learn how to install and configure Apache NiFi to get started

  • You will learn Apache NiFI Architecture and Core Concepts

  • The core concepts like FlowFile, FlowFile Processor, Connection, Flow Controller, Process Groups etc.

  • You will learn how to use Apache NiFi Efficiently to Stream Data using NiFi between different systems at scale

  • You will also understand how to monitor Apache NiFi

  • Integrations between Apache Kafka and Apache NiFi!

  • Questions can also be asked on the forum and instructor is keen to answer those in timely manner

  • ==============================

    Students Loved this course

    Ashish Ranjan says 鈥淕reat Course to get started with Nifi. Also, the instructor is very helpful and answers all your questions. I would highly recommend it. Great Job.鈥?(Rated with 5 star)

    Luca Costa says 鈥淚t was very interesting and now I have an Idea how to start my project 馃檪 Thank you鈥?(Rated with 5 star)

    Aaron Gong says 鈥淰ery clear and well instructed, first section is the most important, why use Nifi and for what purpose it is better suited for鈥︹€?(Rated with 5 star)

    I am sure that you will walk away with a great enterprise skill and start solving your streaming challenges!

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    Instructor

    My name is Stephane Maarek, and I’ll be your instructor in this course. I teach about Data Engineering and API, and throughout my career in designing and delivering these certifications and courses, I have already taught 1,000,000+ students and gotten 350,000+ reviews!

    With NiFi becoming much more than a buzzword out there, I’ve decided it’s time for students to properly learn about Apache NiFi – Cloudera DataFlow – HDF 2.0. So, let鈥檚 kick start the course! You are in good hands!

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    This Course Also Comes With:

  • Lifetime Access to All Future Updates

  • A responsive instructor in the Q&A Section

  • Links to interesting articles, and lots of good code to base your next template onto

  • Udemy Certificate of Completion Ready for Download

  • A 30 Day “No Questions Asked” Money Back Guarantee!

  • I hope to see you inside the course!

    Course Curriculum

    Chapter 1: Introduction to NiFi and first concepts

    Lecture 1: Introduction to Apache NiFi

    Lecture 2: Slides Download

    Lecture 3: About your instructor

    Lecture 4: Important Concepts: FlowFile, Processor and Connector

    Chapter 2: Hands On: Getting Started with NiFi

    Lecture 1: Pre-requisite: Java 8

    Lecture 2: Downloading, Installing and Running NiFi

    Lecture 3: Adding and configuring the first processor: GetFile

    Lecture 4: Second processor PutFile and Starting the Flow

    Lecture 5: Understanding the UI

    Lecture 6: Categorisation of processors

    Lecture 7: FlowFile generator: GenerateFlowFile & ReplaceText processors

    Chapter 3: Apache NiFi in depth

    Lecture 1: NiFi templates

    Lecture 2: Process groups and Template exports

    Lecture 3: Theory: FlowFile topology: content and attributes

    Lecture 4: Practice: FlowFile topology: content and attributes

    Lecture 5: Using attributes with the Expression Language

    Lecture 6: Monitoring NiFi

    Lecture 7: Data Provenance and Event Search

    Lecture 8: Processor relationships

    Chapter 4: Annexes

    Lecture 1: Annex 1: JSON File to MongoDB

    Lecture 2: Annex 2: Integration with Apache Kafka

    Chapter 5: Bonus Lecture – Coupons For My Other Courses – Student Special Offer

    Lecture 1: THANK YOU!

    Lecture 2: Bonus Lecture: Student Special Coupons for my Other courses

    Instructors

  • Introduction to Apache NiFi - Cloudera DataFlow HDF 2.0  No.2
    Stephane Maarek | AWS Certified Cloud Practitioner,Solutions Architect,Developer
    Best Selling Instructor, 10x AWS Certified, Kafka Guru
  • Rating Distribution

  • 1 stars: 29 votes
  • 2 stars: 87 votes
  • 3 stars: 500 votes
  • 4 stars: 1946 votes
  • 5 stars: 2355 votes
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