New capabilities in Stream Analytics reduce development time for big data apps
Azure Stream Analytics is a fully managed PaaS offering that enables real-time analytics and complex event processing on fast moving data streams.
Fuel your development journey with cutting-edge tools and insights that cater specifically to the needs of developers, enhancing productivity and innovation.
Azure Stream Analytics is a fully managed PaaS offering that enables real-time analytics and complex event processing on fast moving data streams.
The pace of change has never been as fast as it is now. Globally, the population is becoming more urban and income levels are rising. By 2050, nearly 70 percent of the global population will live in cities or urban areas—that’s six billion people.
The performance of your applications is central to the success of your IT organization. Application performance can directly impact your ability to increase customer satisfaction and ultimately grow your business.
Every day, healthcare organizations are beginning their digital transformation journey with the Microsoft Healthcare Bot Service built on Azure. The Healthcare Bot service empowers healthcare organizations to build and deploy an Artificial Intelligence (AI) powered, compliant, conversational healthcare experience at scale.
As we head into global partner conference Microsoft Inspire (July 14-18, 2019), the focus is how to help drive more collaboration with and between our partner community and the Microsoft customer base.
Moving on-premises apps and data to the cloud is a key step in our customers’ migration journey, and we’re committed to helping simplify that process. Earlier this year, we invited customers to participate in the preview of multiple new migration capabilities.
Collaborating on data across organizations and integrating it into business decision making is foundational to digital transformation initiatives in organizations. To enable rich data collaboration, a new capability is needed to make sharing data of any size and shape, simple and governed.
Through integration with Cognitive Services APIs, Azure Search has long had the ability to extract text and structure from images and unstructured content.
Today we’re happy to share a new set of libraries for working with Azure Storage, Azure Cosmos DB, Azure Key Vault, and Azure Event Hubs in Java, Python, JavaScript or TypeScript, and .NET.
Tomorrow, July 9, 2019, marks the end of extended support for SQL Server 2008 and 2008 R2. These releases transformed the database industry, with all the core components of a database platform built-in at a fraction of the cost of other databases.
We continue to expand the Azure Marketplace ecosystem. For this volume, 212 new offers successfully met the onboarding criteria and went live.
One of the newest members of the Azure AI portfolio, Form Recognizer, applies advanced machine learning to accurately extract text, key-value pairs, and tables from documents. With just a few samples, it tailors its understanding to supplied documents, both on-premises and in the cloud.