In the Azure Data Factory course, you'll learn to create, manage, and optimize data pipelines, perform data transformations, and orchestrate data workflows using Azure Data Factory. You'll gain practical experience in data integration and processing within the Azure cloud environment, making you proficient in data engineering and ETL development.

Becoming skilled in Azure Data Factory is a significant step in mastering data integration and data engineering in the cloud.


Who will benefit:
The Azure Data Factory course is designed to empower individuals with the skills to create, manage, and orchestrate data pipelines using Azure Data Factory. This course equips you with the knowledge to efficiently move, transform, and process data across your organization's data landscape.
This course is ideal for:

  • Data engineers, data architects, and ETL (Extract, Transform, Load) developers
  • Cloud administrators and professionals working with data in Azure
  • Those looking to optimize data workflows and data integration in a cloud environment


Why we highly recommend this course:
We highly recommend the Azure Data Factory course to individuals looking to master data integration, data engineering, and ETL development in the Azure cloud environment. Proficiency in Azure Data Factory is a valuable asset in today's data-driven and cloud-centric job market.

  • Efficient Data Integration: Learn to create, manage, and optimize data pipelines, making you proficient in data integration and ETL development.
  • Azure Cloud Mastery: Gain hands-on experience in using Azure Data Factory and other Azure cloud services, a critical skill in today's cloud-centric data landscape.
  • Real-World Applications: The skills you acquire are immediately applicable in data engineering, data architecture, and data integration roles.
  • Career Advancement: Proficiency in Azure Data Factory is in high demand and can lead to rewarding career opportunities in data engineering and data integration.


Duration:
Online: 24 Hours
Project: 4 Weeks


Prerequisite:
A basic understanding of data concepts is beneficial.

 

Tools and technologies you will work with:

  • Azure Data Factory
  • Azure Data Lake
  • Azure Key Vault

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