Microsoft Azure Articles

A curated path through the AWS, Azure, and GCP courses that actually build data engineering skills, with prices, prerequisites, and honest limitations.

In this episode of our Meet the Instructor series, we sit down with Fiodar Sazanavets, a software engineer specializing in .NET, C#, Azure, and AI engineering.

Explore how cloud service providers compare in 2026. This article highlights the strengths, challenges, and use cases of major players like AWS, Azure, and Google Cloud.

Are you applying for a job that requires Azure data engineering knowledge? This guide has you covered. Discover the top basic, intermediate, and advanced Azure data engineering questions to ace your upcoming interview.

Ace your Azure Synapse interview with this guide on essential interview questions and expert answers.

Discover the key services in Microsoft Azure, including compute, storage, networking, databases, AI, and security. Learn how they work, when to use them, and best practices to optimize your cloud experience.

Discover the best cloud platform AWS alternatives to consider and how to choose one for your organization.

Discover how to learn Azure, develop essential cloud computing skills, and apply them to real-world challenges. Explore beginner-friendly resources that make mastering Azure straightforward and achievable.

Explore a curated list of Azure project ideas for all skill levels, designed to help you gain hands-on experience, build a strong portfolio, and prepare for Azure certifications!

Prepare for your upcoming data engineering interview with this guide to answering the most frequently asked Azure Data Factory questions, covering everything from foundational concepts to advanced, scenario-based problems.

These core cloud computing projects are great ways to get started with cloud computing. Focus on practical knowledge that recruiters are looking for in potential candidates.

Discover the differences between Azure Data Factory and Databricks, two leading tools for data integration, analytics, and machine learning. Learn when and how to use them!