Azure Data Engineering Preparation with Real World Projects

2 Real World Projects Using Azure Data engineering Tool Like Azure Data Factory, Functions App, Azure Data Bricks, AZSQL

What you'll learn
Azure Data Factory Metadata Driven Framework
Logging Azure Data Factory Pipeline Audit Data Using Stored Procedure
How can I make Data Flow column mapping Dynamic in Azure
How can I make Azure Data Factory Data Flow Dynamic and reusable
5 End to End Azure Data Engineering Projects
Master Azure Data Factory Advance Configurations
How To Design A Real-World Azure Data Engineering Solution Using Multiple Services
Introductions To Azure Databricks
Learn To transform your data using Azure Databricks and pyspark
How to mount a storage account in Azure Databricks ?
Real time use cases of Azure Data Factory And Other Azure data engineering services
Common Azure Data Engineering Interview questions and answers
You will learn To Design Data Engineering Solution Using Azure Data Factory
You will learn To Design Data Engineering Solution Using Azure SQL Server
You will learn To Design Data Engineering Solution Using Azure Databricks
You will learn To Design Data Engineering Solution Using Azure Function
You will learn To Design Data Engineering Solution Using Azure Data lake storage Gen 2
You will learn how to secure your credentials using Azure Key vault
You will learn how to create and store secret token

Requirements
Basics of Azure Cloud computing
Internet Connections
Mobile Phone / Laptop /Desktop
You need azure subscriptions (Only If you want to try these demos)
If you are using Azure pay as you go subscriptions, you will be charged according to your azure resource usages
Description
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).

Who this course is for:
If you are looking for a Real World Data engineering uses cases, then this course is for you
Any student who is planning to learn azure data bricks
Any student who is planning to learn azure data factory
Students looking for a career in Azure Data Engineering
For all the database developer who wants to learn azure data engineering
For business analyst and data analyst who wants to learn azure data engineering