Azure Data Factory Project with Hands-On Lab for Beginners

Azure Data Factory Project with Hands-On Lab for Beginners
Published 7/2024
Duration: 1h5m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 346 MB
Genre: eLearning | Language: English

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

Requirements
No experience needed

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.

More Info