Microsoft’s mission is to empower everyone to achieve more, and we know that our customers like using MongoDB to build applications. In year one of our strategic partnership, we collaborated with MongoDB to make it even easier for our joint customers to do more with Microsoft services and MongoDB Atlas on Azure.
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As a leader in all things AI, Microsoft has spearheaded a curriculum created especially for you and your colleagues to help you build the knowledge, insights, and skills needed to make the most of AI technologies. Transform Your Business with Microsoft AI is designed to bridge the gap between AI technology and business strategy.
Today we are unveiling Microsoft Fabric—an end-to-end, unified analytics platform that brings together all the data and analytics tools that organizations need.
Azure for Operators is introducing a network analytics solution accelerator program, providing a standardized approach to data acquisition and visualization that aids operators on their journey toward complete end-to-end AI Operations (AIOps).
We are excited to share that Gartner has positioned Microsoft as a Leader once again in the 2022 Gartner Magic Quadrant for Data Integration Tools. We believe this recognition shows our continued growth and ongoing commitment to delivering comprehensive and cost-effective data integration solutions.
The Microsoft Intelligent Data Platform, empowers organizations to invest more time creating value rather than integrating and managing their data estate. It integrates best-in-class solutions across Microsoft’s technology stack—breaking down data siloes and enabling organizations to extract real-time insights with the data governance needed to run the business safely.
Azure Data Explorer, a component of Azure Synapse Analytics, is a highly scalable analytics service optimized for structured, semi-structured, and unstructured data. It provides users with an interactive query experience that unlocks insights from the ocean of ever-growing log and telemetry data. It is the perfect service to analyze high volumes of fresh and historical data in the cloud by using SQL or the Kusto Query Language (KQL), a powerful and user-friendly query language. The GigaOm report shows that Azure Data Explorer provides superior performance at a significantly lower cost than both Snowflake and Google BigQuery.
This blog is part of a series in collaboration with our partners and customers leveraging the newly announced Azure Health Data Services. Azure Health Data Services, a platform as a service (PaaS) offering designed exclusively to support Protected Health Information (PHI) in the cloud, is a new way of working with unified data—providing care teams with a platform to support both transactional and analytical workloads from the same data store and enabling cloud computing to transform how we develop and deliver AI across the healthcare ecosystem.
It’s clear that the fragmentation which exists today between databases, analytics, and governance products must be addressed. To help organizations unlock these new capabilities, we shared several exciting announcements today at Microsoft Build that demonstrate our continued innovation and investment in the data products our customers have come to know and trust.
We are pleased to share that Microsoft is named a Leader in the 2021 Gartner® Magic Quadrant™ for Cloud Database Management Systems. This placement reflects our ability to execute and our completeness of vision, and we feel is a testament to our ongoing innovation and the integration of a comprehensive data portfolio into Microsoft’s cloud data ecosystem.