Microsoft Azure Data Factory Course Overview

Microsoft Azure Data Factory Course Overview

The Microsoft Azure Data Factory course is designed to equip learners with a comprehensive understanding of data integration and Workflows in the cloud. Through detailed lessons and hands-on labs, participants will delve into the world of Data warehousing, exploring various components such as Azure SQL Database, Data Lake, and HDInsight. The course covers a wide range of topics, from planning and implementing data warehouse infrastructure to designing and managing Data pipelines with Azure Data Factory (ADF).

Learners will gain practical skills in Data movement and transformation, understanding how to secure data, implement Disaster recovery strategies, and integrate with Azure Active Directory. They will also learn best practices for Performance optimization and explore Data migration tools. This curriculum is ideal for those seeking Azure ADF training, aiming to achieve Azure Data Factory certification, and looking to build a career in cloud data management. Upon completion, participants will be well-equipped to design, deploy, and manage data solutions using Azure Data Factory, making them valuable assets in the growing field of cloud data engineering.

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Course Advisor

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Prem Nidhi Sharma

9+ Years Experience

An effective communicator with good analytical, problem-solving, and organizational abilities. I enjoy interacting with people and providing solutions to their needs. I am an expert in making Training a Fun and learning experience. 

 

I am a seasoned Technical Lead with a strong foundation in data engineering and cloud technologies, holding certifications as a Microsoft Certified Data Engineer and Fabric Analytics Engineer. With a robust background as a Database Administrator across both on-premises and Azure cloud environments, I bring deep expertise in enterprise-scale data solutions.

My technical skill set includes hands-on experience with SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS), along with advanced proficiency in Azure Databricks and end-to-end database development. I have successfully designed and implemented complex data architectures and analytics platforms that drive business insights and operational efficiency.

In addition to my technical acumen, I have had the privilege of training and consulting for leading global IT service providers such as HCL, Wipro, Cognizant, and Infosys, helping teams adopt best practices and leverage modern data tools effectively.

I am passionate about building scalable data ecosystems, mentoring cross-functional teams, and delivering innovative solutions that align with strategic business goals.

 

Target Audience for Microsoft Azure Data Factory

The Microsoft Azure Data Factory course offers comprehensive training for IT professionals on cloud-based data integration and workflows.


  • Data Engineers
  • Cloud Solution Architects
  • Database Administrators
  • Business Intelligence Professionals
  • Data Warehouse Specialists
  • Data Analysts
  • IT Managers overseeing data management solutions
  • Developers looking to specialize in data warehousing on Azure
  • Technical Consultants involved in data-driven projects
  • DevOps Engineers focusing on data pipeline automation
  • Security Professionals managing data protection in the cloud
  • System Administrators transitioning to cloud-based data solutions


Learning Objectives - What you will Learn in this Microsoft Azure Data Factory?

Introduction to the Learning Outcomes of the Microsoft Azure Data Factory Course

This course equips learners with comprehensive skills in data warehousing, data integration, and data transformation using Microsoft Azure Data Factory and related Azure services.

Learning Objectives and Outcomes

  • Understand the core concepts of data warehousing and the considerations for implementing a data warehouse solution in Azure.
  • Deploy, manage, and optimize Azure SQL Databases, including securing data and disaster recovery options.
  • Plan and calculate the necessary compute and storage resources for a data warehouse infrastructure using Azure tools.
  • Design and implement a data warehouse with an emphasis on dimension and fact tables, as well as physical design.
  • Learn about columnstore indexes, their creation, and usage to enhance data warehouse performance.
  • Set up and manage Azure Data Factory, create pipelines, datasets, and integration runtimes for data processing.
  • Implement data copying, ingestion, and transformation with Azure Data Factory, ensuring data security and compliance.
  • Develop skills for using Azure Data Lake, HDInsight, and other tools for data ingestion, processing, and analytics.
  • Gain practical experience through labs and demonstrations on Azure Data Factory components, including linked services and activities.
  • Understand business intelligence concepts and how to consume data from a data warehouse for analysis and reporting.

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