Ultimate Azure Data Factory: Cloud Data Engineering

Master Azure Data Factory (ADF) for Modern Data Warehousing

Unlock the power of cloud data engineering with this comprehensive course on Azure Data Factory (ADF). Become proficient in building robust data pipelines and modern data warehouses using Microsoft's leading cloud data integration service.

This hands-on course takes you from foundational concepts to advanced techniques, using a real-world e-commerce scenario to illustrate practical applications. We'll follow an intuitive, sequential approach, mirroring how data engineering projects unfold in practice, ensuring you not only implement solutions but also deeply understand the underlying data engineering technologies.

What You'll Learn:

• Azure Data Factory (ADF) Fundamentals: Build a contemporary data warehouse architecture using Azure Data Factory, Azure Data Lake Gen2, Azure SQL Database, Azure Databricks, Azure KeyVault, and Microsoft Power BI.
• Data Integration & ETL/ELT: Ingest data from diverse sources and formats into Azure Data Lake Gen2 using Azure Data Factory. Learn to transform data with Mapping Data Flows for scenarios like filtering, conditional splitting, aggregation, and joins.
• Pipeline Development: Create generic, parameter-driven data pipelines using Parameters and Variables in Pipelines, Datasets, and Linked Services. Securely manage parameters with Azure KeyVault.
• Advanced Pipeline Techniques: Implement error handling, data quality rules (using Assert transformations), and handle slowly changing dimensions (SCD Type 1 & Type 2). Learn to build Fact tables.
• Data Pipeline Orchestration: Create pipeline dependencies and orchestrate your ETL/ELT processes using the Pipeline activity. Utilize various triggers (Event, Schedule, Tumbling Window) for automated pipeline execution.
• Databricks Integration: Execute Databricks Notebook activities within Azure Data Factory to perform complex data transformations and implement Delta Lake tables. Learn about Delta Lake optimization, time travel, vacuuming, and Delta Logs.
• Monitoring & Alerting: Monitor your Azure Data Factory pipelines using Azure Data Factory Monitor and Azure Monitor, creating alerts and reporting key metrics.
• Azure Resources & Storage: Learn to create and manage Azure Resources, including Azure Storage Accounts (containers, data upload) and Azure SQL Databases (pricing tiers, user management, data loading, querying).
• Modern Data Warehouse Concepts: Understand Data Warehouse Architectures, the Dimensional Model, Star Schema, and Medallion Layers within Azure Data Lake Storage.

Who is this course for?

This course is designed for aspiring and current data engineers, data analysts, cloud professionals, and anyone looking to master data warehousing and data integration with Azure.

Certification Prep:

This course covers concepts and skills assessed in the Azure Data Engineer Associate (DP203) certification exam. While not solely focused on certification, it provides a strong foundation for exam success.

Key Technologies Covered:

• Azure Data Factory (ADF)
• Azure Data Lake Storage Gen2
• Azure SQL Database
• Azure Databricks
• Power BI
• Delta Lake
• Azure KeyVault
• Azure Monitor
• Azure Storage Explorer
• Azure Data Studio
• Visual Studio Code