Introducing the Microsoft Intelligent Data Platform
It’s clear that the fragmentation which exists today between databases, analytics, and governance products must be addressed.
It’s clear that the fragmentation which exists today between databases, analytics, and governance products must be addressed.
With the advance of AI and machine learning, companies start to use complex machine learning pipelines in various applications, such as recommendation systems, fraud detection, and more.
Data citizens including both technical and business users rely on data lineage for root cause analysis, impact analysis, data quality tracing, and other data governance applications.
Since March 1, 2022, a new Azure region in North China will be unrestricted access by customers, which adds the fifth Azure region to the China market and doubles the capacity of Microsoft’s intelligent cloud portfolio in China.
Databases are constantly evolving to handle new use cases, incorporate more intelligence, and store more data, giving developers and organizations a wide range of database types to meet their varying needs.
We are pleased to share that Microsoft is named a Leader in the 2021 Gartner® Magic Quadrant™ for Cloud Database Management Systems.
Whether it’s SQL Server, Azure SQL, open source, or NoSQL, Microsoft’s database services are here to help you build cloud-native applications or modernize existing applications with fully managed, flexible databases.
There are three core capabilities businesses need that together drive successful transformation: limitless database scale and performance, unmatched analytics and insights, and unified data governance. Today we shared a number of announcements to help organizations evolve rapidly even in the face of sustained uncertainty.
Today Microsoft Cloud for Healthcare is expanding our portfolio of interoperability data services.
We are now announcing the general availability of the Apache Spark 3.0 compatible Apache Spark Connector for SQL Server and Azure SQL, accessible through Maven.