Data professionals

In this blog post we will discuss how to build a multi-tenant system on Azure Cosmos DB. Azure Cosmos DB itself is a multi-tenant PaaS offering on Azure.

For the past 25 years, companies of every size have trusted Windows Server and SQL Server to run their business-critical workloads. In fact, more than 70 percent of on-premises server workloads today run on Windows Server.

We’re committed to ensuring that you can run your workloads reliably on Azure. One of the areas we’re investing heavily into optimizing reliability is using the combination of machine learning and live migration to predict and proactively mitigate potential failures.

Last week we announced a preview of Docker support for Microsoft Azure Cognitive Services with an initial set of containers ranging from Computer Vision and Face, to Text Analytics.

Azure Cosmos DB is a ring zero Azure service. This means it will be available in any new Azure data center as soon as it goes online and must keep all its compliance certificates current.

Data visualization is one of the most critical components for any kind of solution, and graph databases are no different. For Microsoft Azure Cosmos DB, a highly-scalable and enterprise-ready visualization solution has been a common ask from customers.

Most modern applications are built using events whether it is reacting to changes coming from IoT devices, responding to a new listing in a marketplace solution, or initiating business processes from customer requests.

How can you take billions of lines of log data, explore it to identify those hidden gems of information, and act on those insights instantly to improve your customers’ experience, enhance your product, and maintain a competitive advantage in a digital-first world?

“Developers! Developers! Developers!” That phrase is synonymous with Microsoft’s history of democratizing complex technologies and empowering anyone with an idea to build software.

Building solutions with machine learning often requires a data scientist. Azure Cognitive Services enable organizations to take advantage of AI with developers, without requiring a data scientist.

I believe progress requires that we stay focused in pushing the boundaries of human accomplishment. We don’t simply add features to be trendy; we do so in order to solve actual problems, and it is that mindset that keeps us advancing.

Whether in a vehicle looking to find the nearest gas station, or on a factory floor needing to stop the production line, it is easy to imagine ways in which conversation-based interactions can enhance experiences and increase productivity.