Hybrid + multicloud

Microsoft Azure is uniquely positioned to help you meet your compliance obligations.

As cyberattacks become more complex and harder to detect. The traditional correlation rules of a SIEM are not enough, they are lacking the full context of the attack and can only detect attacks that were seen before.

Want to evaluate your cloud analytics provider? Here are the three questions to ask.; Hybrid storage performance comes to Azure; Introducing the App Service Migration Assistant for ASP.

Today, we want to call attention to the exciting news that Azure SQL Data Warehouse has again outperformed other cloud providers in the most recent GigaOm benchmark report.

A few months ago, we released a blog post that provided guidance on how to deploy Apache Airflow on Azure.

We all want the truth. To properly assess your cloud analytics provider, ask them about the only three things that matter: independent benchmark results, company-wide access to insights, and security & privacy.

In December 2018, Microsoft launched the Azure IoT certification service, a web-based test automation workflow to streamline the certification process through self-serve tools.

Data is referred to these days as “the new oil” or “black gold” of industry. If the typical Fortune 100 company gains access to a mere 10 percent more of their data, that can result in increased revenue of millions of dollars.

This blog post continues the Azure SQL Database architecture series where we share background on how we run the service, as described by the architects who originally created the service.

It has been inspiring to watch how customers use Azure Stack to innovate and drive digital transformation across cloud boundaries. In her blog post today, Julia White shares examples of how customers are using Azure Stack to innovate on-premises using Azure services.

Customers who are taking a hybrid cloud approach are seeing real business value – I see this in organizations across the globe.

As data scientists, we are used to developing and training machine learning models in our favorite Python notebook or an integrated development environment (IDE), like Visual Studio Code (VSCode).