Category : Trainings Course Content | Sub Category : Trainings Course Content | By Runner Dev Last updated: 2023-12-05 14:10:25 Viewed : 5830
Azure Data Factory (ADF) course involves covering various aspects of the service, including data integration, data transformation, and orchestration of workflows. Below is a suggested outline for an Azure Data Factory course:
Overview of Azure Data Factory
Use Cases and Scenarios
Getting Started with Azure Data Factory
Introduction to Data Movement
Copy Data Activity
Introduction to Data Flows
Data Flow Activities
Control Flow Activities
Trigger-based Execution
Linked Services Overview
Integration Runtimes
Monitoring Pipelines and Activities
Security and Access Control
Introduction to Templates
Continuous Integration and Continuous Deployment (CI/CD)
Azure Data Factory Mapping Data Flow
Custom Activities and Azure Functions
Integration with Azure Storage and Azure SQL Database
Integration with Azure Synapse Analytics (formerly SQL Data Warehouse)
Industry-specific Use Cases
Hands-on Projects
Best Practices for Performance Optimization
Community and Learning Resources
This course structure can be adjusted based on the audiences skill level, and hands-on labs and projects should be incorporated to reinforce learning through practical application. Additionally, the content should be kept up-to-date with the latest features and updates from Azure Data Factory.
Azure Data Factory (ADF) is a cloud-based data integration service that allows you to create, schedule, and manage data pipelines to move data between supported data stores. ADF is suitable for a variety of roles and individuals who work with data, including:
Data Engineers:
Data Scientists:
Data Analysts:
Business Intelligence Professionals:
Database Administrators:
Cloud Architects:
IT Professionals:
Developers:
Students and Learners:
Professionals Working with Big Data:
BI and Analytics Consultants:
Its worth noting that while Azure Data Factory is a powerful tool, it is most effective when used in conjunction with a broader understanding of cloud services, data storage solutions, and data processing technologies. Additionally, familiarity with SQL and data modeling concepts can be beneficial for those working with Azure Data Factory. Microsoft provides documentation, tutorials, and learning paths to help individuals get started with Azure Data Factory.