(EN) (PDF) – Data Science with Microsoft SQL Server 2016 | msdn.microsoft.com


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The world around us, every business and nearly every industry, is being transformed by technology. This disruption is driven, in part, by the intersection of three trends: a massive explosion of data, intelligence from machine learning and advanced analytics, and the economics and agility of cloud computing.

While databases power nearly every aspect of business today, they were not originally designed with this disruption in mind. Traditional databases were about recording and retrieving transactions such as orders and payments very reliably, very securely and efficiently. They were designed to enable reliable, secure, mission-critical transactional applications at small to medium scale, in on-premises datacenters.

Databases built to get ahead of today’s disruptions do very fast analyses of live data in-memory as transactions are being recorded or queried. They support very low latency advanced analytics and machine learning, such as forecasting and predictive models, on the same data, so that applications can easily embed data-driven intelligence. They allow databases to be offered as a fully managed service in the cloud, in turn making it easy to build and deploy intelligent Software as a Service (SaaS) apps.

They also provide innovative security features built for a world where a majority of data is accessible over the Internet. They support 24×7 high-availability, efficient management and database administration across platforms. They therefore enable mission critical intelligent applications to be built and managed both in the cloud and …


via Microsoft Press blog

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