Planet scale operational analytics and AI with Azure Cosmos DB
Easily build intelligent globally distributed apps running at planet scale with Azure Cosmos DB.
Easily build intelligent globally distributed apps running at planet scale with Azure Cosmos DB.
We’ve made it our mission to provide powerful yet simple-to-use IoT offerings across cloud and edge, so that our partners and customers can quickly move from idea, to pilot, and then production without the need for deep expertise.
This week, at our premier developer conference, Microsoft Build in Seattle, we’re thrilled to announce our latest innovations that further simplify IoT and dramatically accelerate time to value for customers and partners.
Azure Functions constantly innovates so that you can achieve more with serverless applications, enabling developers to overcome common serverless challenges through a productive, event-driven programming model.
In today’s data-driven world, driving digital transformation increasingly depends on our ability to manage massive amounts of data and harness its potential. Developers who are building intelligent and immersive applications should not have to be constrained by resource limitations that ultimately impact their customers’ experience.
With the exponential rise of data, we are undergoing a technology transformation, as organizations realize the need for insights driven decisions. Artificial intelligence (AI) and machine learning (ML) technologies can help harness this data to drive real business outcomes across industries.
AI is fueling the next wave of transformative innovations that will change the world. With Azure AI, our goal is to empower organizations to apply AI across the spectrum of their business to engage customers, empower employees, optimize operations and transform products.
In this third post, we discuss how companies can move forward by identifying and filling capability gaps.
In connection with HIMSS 2019, we announced the Azure API for FHIR, which provides our customers with an enterprise grade, managed FHIR® API in Azure. Since then, we have been busy improving the service with new configuration options and features.
As companies of all sizes move their assets and workloads to the cloud, there’s a clear need to provide more powerful ways to manage, govern, and automate their cloud resources. Such automation scenarios require custom logic best expressed in PowerShell.
Azure Stream Analytics tools for Visual Studio make it easier for you to develop, manage, and test Stream Analytics jobs.
We are truly at a unique tipping point in the history of technology. The pace of growth is more rapid than ever before, with estimates of more than 150B connected devices and data growth up to 175 Zettabytes by 2025.