Hello,

Welcome to this New Azure Data Engineering Course. In this course We will demonstrate two real world scenario based projects using Azure Data Engineering Tool. This will give a real time experience to some of the common scenarios that you may face in your day to day life as azure Data engineer.

Is Azure good for data engineer?

Microsoft Azure is one of the best tool for data engineers as they can build different applications and deploy it any azure regions to utilizing their existing capabilities. No matter where their data is stored, azure data engineering services help you to access them, transform them and export them into any storage system that you want use. In this projects we will demonstrate some of the feature that Azure data factory supports.

Project One: Read Data From A Online Storge System and process them using Azure Data Factory. This project covers one real-time industry use cases and project work to give you hands-on experiences on using Azure data engineering tools and services like Azure Data factory, Azure functions and Azure SQL .

Project Two: Read multiple files using ADF. Validate your file structure using Azure SQL Data base table. Process valid files using Azure Data Factory. Process multiple files using same Azure Data Factory Pipelines Data Flow (Dynamic Data flows) . Make your data flow dynamic, so that single data flow can process multiple files with different structures and columns names and data types.

Just wanted add one point: This course cover some of the advanced azure data factory features and functions. It will be really helpful, if you already know some of the basics of azure data factory. But still we will cover all the topics, that are necessary for completing this project in details (End to End).