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Data Engineering on Microsoft Azure: The Definitive Guide (Udemy.com)

Hands-On Introduction to Azure Data Services. Learn Data Factory, Synapse Analytics, SQL Database, and more

4.3
619 reviews

Created by: Wadson Guimatsa

Last updated March 2022

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What you will learn

  • Provision Azure SQL Databases. Use query tools such as Azure Data Studio or SQL Server Management Studio (SSMS) to connect to Azure SQL databases
  • Create storage accounts to store unstructured and semi-structured data. use Azure Data Studio to upload data to Azure
  • Manage identities, keys, and secrets across different data platform technologies using Azure Key Vault
  • Use the Azure CLI to generate Shared Access Signature (SAS). How access storage resources using SAS
  • Build ETL pipeline using Azure Data Factory. Create advanced transformation logic using Data Flows
  • Trigger a Data Pipeline based on storage events or specific time
  • Use T-SQL to query Relational Databases and data in Azure Storage
  • Transform data using Azure Synapse Analytics. Create external tables to read or write data to files in Azure Storage
  • Build a modern data warehouse using Azure Synapse Analytics

How it compares

Against the other 461 rated Udemy courses in Data Science on CourseDuck:

  • Rating4.3 out of 5higher than 17% of them
  • Reviews619#207 of 462 by number of reviews
  • Length11.9 hourslonger than 62% of them
  • Last updatedMarch 2022earlier than 86% of them

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Course Description

Do you want to jump-start your career as an Azure Data Engineer?


Welcome to the Definitive Guide to Data Engineering on Microsoft Azure.
In this course, you will learn how to use the extensive family of Azure Data Services to build a modern data and analytics platform.

I'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as an Azure Data Engineer.

By the time you complete this course, you will be able to:

  1. Architect a Data Solution on Azure

  2. Integrate relational data and unstructured data

  3. Build data processing pipelines using Azure Data Factory

  4. Integrate and transform data from various data systems

  5. Securely access data stores with Azure Key Vault and Azure role-based access control (Azure RBAC)

  6. Perform exploratory data analysis with Azure Synapse Analytics

  7. Manage your costs

The lectures in this course are hands-on and with lots of explanations.
I also use animations to break down complex topics.

There are SQL scripts and Jupyter notebooks that you can use to follow along easily.


You will be working closely with the documentation of Microsoft Azure as it is essential to know how to find the most up-to-date information about any service.

You will learn how to combine a range of Azure services to ingest, store and process data of all types and sizes from any data source.

Throughout this course, we will learn how to use and combine multiple Azure Services and tools, including:

  • Azure SQL Databases

  • Azure Storage

  • Azure Role-Based Access Control - RBAC

  • Azure Data Studio

  • Azure Storage Explorer

  • Azure Cost Management

  • Azure Data Factory

  • Azure Key Vault

  • Azure Managed Identity

  • Azure Synapse Analytics

    • Synapse Workspace

    • Azure Synapse Studio

    • Serverless SQL Pool

    • Serverless Apache Spark Pool

    • Synapse Analytics Dedicated SQL Pool

At the beginning of each Data Service, you will be introduced to the Service, learn what it is for, and then learn how to use it.

Enroll now, and learn

Microsoft, Windows, Microsoft Azure, and all Azure Data Services are either registered trademarks or trademarks of Microsoft group of companies.
This course is not certified, accredited, affiliated with, or endorsed by Microsoft Corporation.
Read More All Levels All Levels product length iconTime: 11.9h

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Instructor Details

Wadson Guimatsa

I'm a software developer specialized in building data-intensive applications.

I've been developing software for over 10 years.

I've worked for Industries that are very data-intensive such as the financials and industrial image processing.

Over the years, the volume of data produced by systems and humans outgrew the storage and compute capacity of the legacy RDBMS systems, and therefore I had to learn how to use the new tools and frameworks to process Big-Data

As a data engineer, I'm very motivated and passionate about building applications that can leverage the power and flexibility of cloud computing and big-data processing frameworks.

Read More

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Reviews

4.3

619 ratings on Udemy

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By Surbhi Sharma on 9/16/2025

content is good but issue with audion, very low . please look into it . i tried to open it in incognito mode as well .

By Richard Fryer on 9/26/2023

Out of date with respect to the current Azure portal interface. MSSQL CLI does not have a version compatible with the current Ubuntu

By Anonymized User on 8/22/2023

Hard to take a class when video never works and chat not allow to stay if looking up errors so very poor job on this. Intro works nothing else does and no recourse to solve system check worked. Seems poor setup.

By Simon Stokvold on 7/8/2023

Halfway through. Good explanations and insights into what Azure is and can do.

By Anonymized User on 9/16/2022

Great course with clear explanations of ADF ETL processes. There is also a nice introduction to other Azure resources and techniques that are used in building an ADF instance.

By Sean North on 7/5/2022

Excellent course for a broad overview of Microsoft Azure. I bought the course to specifically learn how to do things in Azure Data Factory, and there were a couple of lectures on that topic. However there were a lot of lectures on topics relating to administration, DevOps and architecture which are a little over my head. I also didn't have access at my company to do some of the tasks as they were admin tasks, so I watched those lectures but couldn't apply anything in them because of access issues. Overall, a great overview course.

By Ketan Purohit on 6/10/2022

A 'hidden' gem. Explained with clarity and patience through examples on Azure. Could be used a show-me and follow-you approach. Nice. I have signed up for his Databricks course on strength of this course.

By George Delis on 4/18/2022

Very good and informative course. Many concepts were explained in a very clear way and have increased a lot my understanding od how to do data engineering in Azure

By Lloyd Angulo on 2/22/2022

Great course! Wadson does a great job explaining core data engineering concepts and the tools within Azure (ADF, SQL Server, Synapse). The examples really help to cement the learning. In addition, he spends time explaining how to solve common errors and how to use Azure's documentation.

By Joann01.ren@gmail.com on 1/10/2022

So far the best data engineering course that I have ever encountered. Straightforward hands on instructions with real world experience and knowledge. It really guides me to have the work DONE! Best fit for doers! I am half way through the course and cannot wait to give it a FULL 5 star rating.

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Overall Score : 86 / 100

Data Engineering on Microsoft Azure: The Definitive Guide
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  • Video Duration: icon 11.9h
  • Price: See price on Udemy
  • Provider: icon Udemy
  • Updated: icon March 2022
  • Level: All Levels All Levels
  • Language: icon English
  • Certificate: icon Yes
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