Essential SQL: Azure Data Factory and Data Engineering

Azure Data Factory | Data Engineering using ADF | Data Mapping Flows | SQL Stored Procedure | Data Engineering | Lake

Created by: Kris Wenzel
Let me teach you SQL using simple to understand English.

What Will I Learn?

• Learn how to construct ELT solutions using Azure Data Factory and SQL Server.
• Implement various ELT solutions using Mapping Data Flows, Copy Activities, and Stored Procedures.
• Develop the skills to build and troubleshoot Azure Data Factory pipelines with confidence.
• Enhance pipeline reliability by mastering the use of parameters to optimize your data workflows.
• Learn efficient methods for storing and structuring data using Azure Storage services.
• Understand the distinctive roles played by Azure Data Factory, Data Storage, SQL Server, and Data Bricks in the creation of an ELT solution.

Requirements

• Familiarity with SQL and basic programming skills can be beneficial.
• Proficiency in programming will be valuable when working with scripting and data transformation tasks
• Experience in troubleshooting and debugging technical issues will aid in building and troubleshooting Azure Data Factory pipelines.
• Note: A Credit or Debit card may be required for you to set up your free Azure Account.

Target audience

• Aspiring Data Engineers: Individuals who are new to data engineering and want to learn how to use Azure Data Factory to build data solutions.
• Business Analysts: Analysts who work with data to make business decisions. Understanding data engineering can help them better utilize and secure data for decision-making.
• Business Intelligence Developers: BI developers seeking to automate data pipelines for their reporting and analytics needs using Azure Data Factory.
• Cloud Architects: Professionals responsible for designing and implementing cloud solutions. They may want to understand how Azure Data Factory fits into their architecture.
• Data Analysts: Analysts who want to expand their skills by learning how to move and transform data using Azure Data Factory for better analysis.
• Data Architects: Professionals responsible for designing data architectures and systems. They need to ensure that the data solutions they design are secure, scalable, and well-managed.
• Data Scientists: Data scientists who want to work with clean and well-organized data, making Azure Data Factory knowledge beneficial for data preparation.
• Database Administrators: DBAs looking to integrate Azure Data Factory into their data management processes, especially for data movement and ETL (Extract, Transform, Load) tasks.
• Software Developers: Developers who want to gain expertise in building data solutions and working with databases. They might be interested in integrating data management and security practices into their software development workflows.
• System Administrators: IT administrators responsible for managing Azure accounts and resources may need to understand Azure Data Factory for resource allocation and monitoring.