Coursera

Data Storage in Microsoft Azure (Coursera)

Offered by Microsoft,

Azure provides a variety of ways to store data: unstructured, archival, relational, and more. In this course, you will learn the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for the data you want to store in the cloud. This course part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

This is the second in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam.
Course 2 of 10 in the Microsoft Azure Data Engineering Associate DP-203 Exam Prep Specialization.
What You Will Learn

You will learn the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for your data.

Syllabus

WEEK 1
Data storage in Microsoft Azure
In this module, you will learn how using Azure Storage, Azure SQL Database, and Azure Cosmos DB - or a combination of them - for your business scenario is the best way to get the most performant solution. you will also learn how to create an Azure Storage account with the correct options for your business needs.

WEEK 2
Connect an app to Azure Storage
In this module, you will create a simple application and add configuration, client library references, and code to connect it to Azure Storage.

WEEK 3
Secure your Azure Storage account
In this module, you will learn how Azure Storage provides multilayered security to protect your data. You will find out how to use access keys, to secure networks, and to use Advanced Threat Protection to proactively monitor your system.

WEEK 4
Store application data with Azure Blob storage
In this module, you will build an app that stores user files with Azure Blob storage.

WEEK 5
Practice Exam on Store Data in Microsoft Azure
In this module, you will take a practice exam that covers key skills measured in the Exam DP-203: Data Engineering on Microsoft Azure.

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

Whizlabs

Exam Prep AI-102: Microsoft Azure AI Engineer Associate (Coursera)

CS: Information & Technology

The AI-102: Designing and Implementing a Microsoft Azure AI Solution certification exam tests the candidate’s experience and knowledge of the AI solutions that make the most of Azure Cognitive Services and Azure services. In addition, the exam also tests the candidate's ability to implement this knowledge by participating in all phases of AI solutions development—from defining requirements, and design to development, deployment, integration, maintenance, performance tuning, and monitoring.

Sep 21st 2026

5-12 Weeks

Python Artificial Intelligence Microsoft Azure

Coursera

Microsoft

Microsoft Azure SQL (Coursera)

CS: Information & Technology

In this course, you will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build your foundational knowledge of cloud data services within Microsoft Azure. You will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. You will learn you'll learn about SQL. You'll see how it's used to query and maintain data in a database, and the different dialects that are available.

Sep 7th 2026

2 Weeks

SQL MySQL Azure SQL Database

Coursera

Google Cloud

Architecting with Google Kubernetes Engine: Workloads en Français (Coursera)

CS: Software Engineering Computer Science

"Le cours ""Architecting with Google Kubernetes Engine: Workloads"" vous apprend à effectuer des opérations Kubernetes ; à créer et gérer des déploiements ; à utiliser les outils de mise en réseau GKE, et à attribuer un espace de stockage persistant à vos charges de travail Kubernetes. Ce cours fait partie d'une formation spécialisée consacrée à la création d'infrastructures informatiques efficaces à l'aide de Kubernetes et de GKE. Cette formation porte sur le déploiement et la gestion d'applications conteneurisées sur GKE et les autres services proposés par Google Cloud Platform.

Sep 7th 2026

1 Week

Scheduling Data Storage Kubernetes

Coursera

Whizlabs

Virtual Networks in Azure (Coursera)

CS: Information & Technology

Virtual Networks in Azure Course is the fourth course of Exam Prep AZ-104: Microsoft Azure Administrator Associate Specialization. This course teaches a demonstration of Virtual Networking in Azure. This also focuses on Azure DNS and Secure access to virtual networks and load balancing.

Sep 7th 2026

2 Weeks

DNS Azure Virtual Networking

Coursera

Microsoft

Build and Operate Machine Learning Solutions with Azure (Coursera)

Data Science

Azure Machine Learning is a cloud platform for training, deploying, managing, and monitoring machine learning models. In this course, you will learn how to use the Azure Machine Learning Python SDK to create and manage enterprise-ready ML solutions. This is the third course in a five-course program that prepares you to take the DP-100: Designing and Implementing a Data Science Solution on Azurecertification exam.

Sep 7th 2026

5-12 Weeks

Machine Learning Microsoft Azure Azure Machine Learning

Coursera

Microsoft

Deploy a website with Azure Virtual Machines (Coursera)

Computer Science

If your web hosting requirements aren't directly supported by the Azure Web app platform, you can leverage virtual machines to customize and control every aspect of ta webserver. In this course, you will learn how to create, configure, and manage virtual machines on Linux and Windows that host web apps. You will look at the decisions made before creating a VM, the options to create and manage the VM, and the extensions and services you use to manage your VM. You will learn how to create a Linux virtual machine using the Azure portal.

Sep 7th 2026

5-12 Weeks

Microsoft Azure Azure Virtual Machine

Coursera

Whizlabs

Exam Prep: HashiCorp Certified Terraform Associate (003) (Coursera)

CS: Software Engineering

Terraform is one of the most recognized infrastructure automation tools that help in addressing various real-life challenges. This training course helps you develop your skills and knowledge in Terraform. You can learn the skills for developing cloud infrastructure in an effective and reliable manner. In addition, you can also develop the skills for the automation of infrastructure by using Terraform for public cloud platforms.

Sep 7th 2026

5-12 Weeks

Azure Google Cloud Platform AWS

Coursera

LearnQuest

Developing AI Applications on Azure (Coursera)

Data Science

This course introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning.

Sep 21st 2026

5-12 Weeks

ML Artificial Intelligence Machine Learning

Coursera

Microsoft

Microsoft Azure Machine Learning (Coursera)

Data Science

Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier. In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code.

Sep 7th 2026

4 Weeks

Machine Learning Clustering Regression Models

Coursera

Whizlabs

Deploying Microservices to Kubernetes using Azure DevOps (Coursera)

CS: Information & Technology

Kubernetes is open-source, and its container orchestration benefits enable automation of various tasks such as deployment, management, and scaling of container-based applications. Presently, you can find various cloud-based applications using Kubernetes workloads. Since the Azure cloud provides ease of running Kubernetes alongside ease of scalability and management of microservices with higher availability, it is one of the foremost choices of all enterprises for DevOps transformation. You can utilize the opportunity to improve your expertise in deploying microservices in Kubernetes and capitalize on many career options.

Sep 14th 2026

3 Weeks

Node.js DevOps Azure

Coursera

Microsoft

Data Storage in Microsoft Azure for Associate Developers (Coursera)

Statistics & Data Analysis Data Science

Sep 7th 2026

5-12 Weeks

Microsoft Azure Data Storage Azure

Coursera

Board Infinity

Microservices and Deployment by using ASP.NET (Coursera)

CS: Software Engineering

Microservices and Deployment by using ASP.NET is an advanced-level course designed for experienced developers who want to learn how to build and deploy microservices-based applications using ASP.NET. The course covers various topics, including designing microservices architecture, implementing microservices using ASP.NET, using containerization for deployment, and using DevOps tools for continuous integration and continuous deployment.

Sep 7th 2026

3 Weeks

DevOps Azure Docker