Mastering Azure Data Engineering: Part 3 - Hands-On

Master Azure Data Engineering with this focused course, Part 3 of a comprehensive series designed to build essential Azure skills. This module dives deep into the core Azure services that power modern data engineering tasks.

You'll gain a practical understanding of key components like Azure Storage and Azure SQL, specifically within the context of Azure Data Factory. Through engaging lectures, hands-on labs, and real-world case studies, you'll learn to efficiently streamline data workflows, optimizing data movement and data manipulation processes.

This course empowers you to effectively leverage Azure Data Factory for a wide range of data engineering applications, from data ingestion and data transformation to data loading. Become a valuable contributor to data-driven initiatives within your organization.

Course Objectives:

• Utilize Azure Storage effectively within your Azure Data Factory workflows.
• Leverage Azure SQL for efficient data processing and data manipulation inside Azure Data Factory pipelines.
• Streamline data workflows using Azure Data Factory, optimizing data movement and transformation processes.
• Gain hands-on experience with copy data and delete activities in Azure Data Factory through practical exercises and case studies.

Who Should Attend?

This course is ideal for:

• Data Engineers looking to expand their skillset.
• Data Analysts seeking to improve their data pipeline capabilities.
• Data Scientists needing to manage and process data effectively.
• IT Professionals aiming to enhance their Azure data engineering expertise.

Prerequisites:

• A basic understanding of Azure services and cloud computing concepts.
• Familiarity with fundamental data engineering principles and practices.

Delivery Format:

• Instructor-led training sessions
• Hands-on labs and exercises
• Real-world case studies