This course covers all key aspects of the Azure Data Factory v2 platform.
It is ideal for architects, developers, administrators, IT managers, and anyone else who would like to make the best possible use of this Azure service. Key areas covered include ADF v2 architecture, UI-based and automated data movement mechanisms, 10+ data transformation approaches, control-flow activities, reuse options, operational best-practices, and a multi-tiered approach to ADF security.
Special attention is paid to covering Azure services which are commonly used with ADF v2 solutions. These services are Azure Data Lake Storage Gen 2, Azure SQL Database, Azure Databricks, Azure Key Vault, Azure Functions, and a few others.
6 hands-on instructor-led labs are included with the course. These allow students to practice applying ADF v2 concepts and prepare them for real-world Azure data integration projects.
Microsoft Azure Fundamentals Training (AZ-900T00) or equivalent experience.
Azure Data Factory Training: Designing and Implementing Data Integration Solutions Delivery Methods
After-course instructor coaching benefit
Hands-on labs included
Azure Data Factory Training: Designing and Implementing Data Integration Solutions Course Benefits
Build end-to-end ETL and ELT solutions using Azure Data Factory v2Architect, develop and deploy sophisticated, high-performance, easy-to-maintain and secure pipelines that integrate data from a variety of Azure and non-Azure data sources.Apply the latest DevOps best practices available for the ADF v2 platform.
Azure Data Factory Training Outline
Introduction to ADF
Historical background: SSIS, ADF v1, other ETL/ELT tools
Key capabilities and benefits of ADF v2
Recent feature updates and enhancements
Core Architectural Components
Building and Executing Your First Pipeline
Runtime and Operations
DevOps with ADF