Udemy – Azure Data Engineering with Hands-on Labs 2024-6
Udemy – Azure Data Engineering with Hands-on Labs 2024-6 Downloadly IRSpace

The Azure Data Engineering with Hands-on Labs course will help you build scalable and efficient data solutions in the cloud by mastering data pipelines and flows and become a highly sought-after Azure Data Engineer. This comprehensive course equips you with the skills and knowledge to design, develop and deploy powerful data pipelines in Microsoft Azure. We dive deep into Azure Data Factory (ADF) and Azure Data Flows pipelines to enable you to perform a variety of data transformations and integrations seamlessly. By the end of this course, you’ll be confident in building and deploying powerful data pipelines using Azure Data Factory and Dataflows and advance your career as a data engineer in the booming cloud computing landscape.
What you will learn in this course:
- A solid foundation: Understand the core concepts of data engineering, cloud data platforms, and the Azure ecosystem.
- Azure Data Factory (ADF) Mastery: Explore ADF’s capabilities to build data pipelines, orchestrate data movement, and launch workflows.
- Hands-on expertise in Dataflow: Learn how to use Dataflows, a powerful visualization tool in ADF, to transform data visually.
- The Power of Data Transformation: Explore a range of data transformation techniques using Dataflows to clean, manipulate and prepare your data.
- Real Use Cases: Apply your new skills to build practical data pipelines for common scenarios.
- You’ll learn how to build a real data pipeline for large use in Azure Data Factory (ADF).
- You will learn how to load transformed data from Azure Data Storage to Azure SQL Database using Azure Data Factory (ADF).
- You will learn how to get data from sources such as HTTP and Azure Blob Storage using Azure Data Factory (ADF).
- You will gain good data engineering skills in Azure using ADF transformations and Dataflows.
Who is this course suitable for:
- Enthusiastic and young data engineers looking to specialize in Azure data engineering.
- Data analysts who want to improve their skills in building data pipelines for their analytical tasks.
- IT professionals looking to transition into a cloud-based data engineering role.
- Anyone interested in using Azure Data Services to efficiently manage data.
- IT developers working in other disciplines trying to transition into data engineering.
- University students looking for careers in data engineering.
- ETL Developer, Data Science, Data Warehouse Developers who need to upgrade their Azure Data Engineer skills.
Details of the Azure Data Engineering with Hands-on Labs course
- Publisher: Udemy
- Instructor: ineed techology
- Training level: beginner to advanced
- Training duration: 4 hours and 5 minutes
- Number of courses: 45
Course headings
Azure Data Engineering with Hands-on Labs course prerequisites
- An Azure Account is required, it is easy to create.
- Experience in Azure is not required, I will take you through everything necessary to learn this course and build the project
- Basic understanding about cloud computing will be useful, but not mandatory.
Course images
Sample video of the course
Installation guide
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download link
File(s) password: www.downloadly.ir
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1.8 GB