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Learn Azure Data Factory Training

Azure Data Factory (ADF) Training is designed to help professionals master Microsoft’s cloud-based data integration and ETL/ELT service for building scalable data pipelines. This course covers data ingestion, transformation, orchestration, data movement, mapping data flows, triggers, integration runtimes, monitoring, and Azure ecosystem integration.

Through hands-on labs, real-world projects, and practical implementation exercises, learners gain the skills to design, automate, and manage modern data integration solutions. Whether you are a data engineer, BI professional, cloud developer, or IT professional, Azure Data Factory Training prepares you for industry-recognized certifications and equips you with the expertise needed for successful cloud data engineering and analytics careers.

Reasons to Choose Azure Data Factory Training

Master Modern Data Integration

Learn how to build, automate, and manage scalable data pipelines using Azure Data Factory. Gain expertise in data ingestion, transformation, orchestration, ETL/ELT processes, and integration with Azure cloud services.

Hands-On Real-Time Project Experience

Work on practical labs, live projects, and real-world business scenarios involving data migration, pipeline development, mapping data flows, triggers, monitoring, and performance optimization to build job-ready skills.

Advance Your Career in Cloud Data Engineering

Azure Data Factory is widely used by organizations for modern data integration and analytics. Completing this training prepares you for Microsoft Azure certifications and opens career opportunities as an Azure Data Engineer, Data Integration Engineer, Cloud Data Engineer, ETL Developer, or Azure Solutions Consultant.

Courses of Azure Data Factory Training

Azure Data Factory Training covers end-to-end data integration, ETL/ELT pipeline development, data transformation, orchestration, monitoring, integration runtimes, mapping data flows, and Azure ecosystem integration.

Yes. The course is suitable for beginners, data engineers, BI professionals, cloud developers, database administrators, and IT professionals. Basic knowledge of databases or cloud concepts is beneficial but not mandatory.

 

Yes. The course includes practical labs, real-world case studies, live projects, and pipeline implementation exercises to help learners gain hands-on experience with Azure Data Factory.

The training covers Azure Data Factory integration with Azure Blob Storage, Azure Data Lake Storage, Azure SQL Database, Azure Synapse Analytics, Azure Databricks, Azure Key Vault, and other Azure data services.

 

Yes. The curriculum aligns with industry best practices and helps learners prepare for relevant Microsoft Azure certifications while developing practical cloud data engineering skills.

After completing the course, you can pursue roles such as Azure Data Engineer, Data Integration Engineer, ETL Developer, Cloud Data Engineer, Azure BI Developer, Data Pipeline Developer, and Azure Solutions Consultant.

Need Detailed Curriculum Enquiry Now!


Self Learning

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Corporate Training

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  • Blended Delivery Model
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Live Coaching

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  • Live Sessions
  • Cloud

Azure Data Factory Course Content

The course begins with an introduction to Azure Data Factory, cloud data integration concepts, Azure architecture, Azure portal navigation, data engineering fundamentals, and Azure resource management.

Yes. You'll learn how to create, configure, and manage data pipelines, activities, datasets, linked services, parameters, variables, and pipeline orchestration.

This module covers data ingestion, ETL/ELT processes, data movement, copy activities, data transformation, schema mapping, and integration between multiple data sources.

Yes. The course includes Mapping Data Flows, data transformation techniques, joins, aggregations, derived columns, conditional splits, lookups, sorting, and performance optimization.

 

You'll learn Azure Integration Runtime, Self-hosted Integration Runtime, Azure-hosted Integration Runtime, linked services, connectors, authentication methods, and secure connectivity to cloud and on-premises data sources.

Yes. The training includes triggers, event-based triggers, schedule triggers, tumbling window triggers, pipeline scheduling, workflow automation, and dependency management.

 

Yes. You'll learn pipeline monitoring, activity monitoring, logging, alerts, debugging, retry policies, exception handling, troubleshooting, and performance tuning.

Yes. The course covers integration with Azure Blob Storage, Azure Data Lake Storage, Azure SQL Database, Azure Synapse Analytics, Azure Databricks, Azure Key Vault, Microsoft Fabric, Power BI, and other Azure services.

Yes. You'll learn identity and access management (IAM), managed identities, authentication, encryption, Azure Key Vault integration, role-based access control (RBAC), governance, and security best practices.

Yes. The training concludes with hands-on implementation projects, real-world ETL/ELT scenarios, end-to-end data pipeline development, deployment, monitoring, troubleshooting, and interview preparation to help you become job-ready.

Yes. The training covers integration with SAP MM, SAP SD, SAP PP, SAP HCM, SAP S/4HANA, and other modules to support end-to-end enterprise business processes.

 

Yes. The course includes SAP FICO configuration, implementation methodology, financial reporting, troubleshooting, real-time projects, mock interviews, and certification-oriented training to prepare learners for successful SAP FICO consulting careers.

Azure Data Factory Course Reviews

Outstanding Azure Data Engineering Training
☆ ☆ ☆ ☆ ☆

"The Azure Data Factory course provided an excellent balance of theory and hands-on practice. I learned how to build data pipelines, perform ETL processes, and integrate multiple Azure services through real-world projects. The trainers were highly knowledgeable and supportive."

7 Days Ago
Perfect for Building Cloud Data Skills
☆ ☆ ☆ ☆ ☆

"This training helped me understand Azure Data Factory from the basics to advanced concepts, including Mapping Data Flows, Integration Runtime, and pipeline monitoring. The practical assignments boosted my confidence for real-time implementations."

7 Days Ago
Industry-Oriented Learning Experience
☆ ☆ ☆ ☆ ☆

"The course content was comprehensive and aligned with current industry requirements. The live projects and case studies gave me hands-on experience with Azure Synapse, Azure SQL, and Azure Data Lake integration. I highly recommend this course to aspiring data engineers."

7 Days Ago
Excellent Training with Great Career Support
☆ ☆ ☆ ☆ ☆

"The instructors explained every concept clearly and provided excellent certification guidance and interview preparation. After completing the course, I was able to build end-to-end data pipelines and secure a role as an Azure ETL Developer."

7 Days Ago

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