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Azure Data Factory Project with Hands-On Lab for Beginners

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Anurag Sharma

1:05:21

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  • 1. Who are Data Engineers.mp4
    02:10
  • 2. OLTP vs OLAP.mp4
    02:39
  • 3. What is Azure Data Factory and its components.mp4
    05:39
  • 1. What is PowerShell.mp4
    06:44
  • 2. How to Access characters of a string.mp4
    01:53
  • 3. Demo Indexing and substring method.mp4
    04:15
  • 4. Conditional statement in PowerShell.mp4
    02:55
  • 5. foreach loop in PowerShell.mp4
    04:12
  • 1. Project Overview.mp4
    02:46
  • 2. Create Azure Data Factory resource.mp4
    03:51
  • 3. Demo - Integration Runtime.mp4
    01:43
  • 4. Demo - Linked Service.mp4
    05:43
  • 5. Demo - Data set.mp4
    02:41
  • 6. Demo - Get Metadata Activity.mp4
    05:11
  • 7. Demo - Foreach Activity.mp4
    09:36
  • 8. Demo - Copy Activity.mp4
    03:23
  • 1. Important Links.html
  • Description


    Create Azure Data Factory pipeline for absolute beginners

    What You'll Learn?


    • Introduction to Azure Data Factory
    • Setting Up Azure Data Factory
    • Creating and Managing Pipelines
    • Data Integration Technique

    Who is this for?


  • Beginners: Individuals new to data engineering and cloud-based data integration.
  • Data Professionals: Data analysts, data engineers, and database administrators looking to expand their skillset.
  • IT Professionals: Those working in IT or related fields who want to learn about cloud-based data integration solutions.
  • What You Need to Know?


  • No experience needed
  • More details


    Description

    Welcome to "Azure Data Factory Project with Hands-On Lab for Beginners"! This course is designed to provide you with a comprehensive understanding of Azure Data Factory, Microsoft's cloud-based data integration service. Whether you're new to data engineering or looking to enhance your skills, this course will guide you through the essential concepts and practical applications of Azure Data Factory.

    What You'll Learn:


    • Introduction to Azure Data Factory: Understand the fundamentals of Azure Data Factory, including its architecture and core components.

    • Creating and Managing Pipelines: Learn how to design, create, and manage data pipelines to automate data movement and transformation.

    • Data Integration: Explore various data integration patterns and techniques to connect and process data from different sources.

    • Hands-On Lab: Apply your knowledge through practical exercises and real-world scenarios in our hands-on lab environment.

    Who Should Enroll:


    • Beginners: Individuals new to data engineering and cloud-based data integration.

    • Data Professionals: Data analysts, data engineers, and database administrators looking to expand their skillset.

    • IT Professionals: Those working in IT or related fields who want to learn about cloud-based data integration solutions.


    By the end of this course, you'll have the skills and confidence to design, implement, and manage data pipelines using Azure Data Factory. Join us and take the first step towards mastering data integration in the cloud!

    Who this course is for:

    • Beginners: Individuals new to data engineering and cloud-based data integration.
    • Data Professionals: Data analysts, data engineers, and database administrators looking to expand their skillset.
    • IT Professionals: Those working in IT or related fields who want to learn about cloud-based data integration solutions.

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    Anurag Sharma
    Anurag Sharma
    Instructor's Courses
    I am a Microsoft certified trainer and have total of 10 yrs of experience into IT. I worked into multiple technologies like PowerShell, python, azure, AWS, Docker, Kubernetes etc. Currently working on PowerShell development where my role is to automate cloud related tasks. I have delivered many trainings - instructor led classroom and online training.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 16
    • duration 1:05:21
    • Release Date 2024/10/11