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Microsoft Ignite 2017: MS Stresses Choice, From SQL Server 2017 to Azure Machine Learning Written by Doug Henschen, Contributing Writer Sept. 28, 2017 at 9:04 a.m. PT Video: These are the top ...
But it was SQL Server’s new machine learning tools that grabbed my attention. Machine learning remains one of Microsoft’s big themes for 2017, and it’s an important segment of SQL Server 2017.
In Azure Machine Learning proper, you can draw on multiple models for anomaly detection, classification, ... and Azure tools in a SQL Server 2012 SP2 Enterprise or Windows Server 2012 R2 image.
Azure SQL Database Edge, now in private preview, runs on ARM and x64 processors and puts a lightweight database engine that supports the same SQL queries as SQL Server and Azure SQL Database.
Over a month after SQL Server 2019 became generally available, Microsoft has now shined light on some more aspects of the improved machine learning capabilities offered with this release.
Azure SQL Database Machine Learning services preview. Support for R models inside SQL Database makes it seamless for data scientists to develop and train models in Azure Machine Learning and deploy ...
Microsoft says Azure Arc-enabled Machine Learning and Azure Arc-enabled Kubernetes are ... Linux and Windows Server and features the ability to bring services like Azure SQL Database and ...
SQL Server 2022: Here’s what you need to know Your email has been sent TIOBE Index: Top 10 Most Popular Programming Languages WWDC: Apple Unveils Unified Design Language and Built-In AI Tools ...
At the day one keynote of Microsoft's Ignite 2018 conference today, the company announced SQL Server 2019, which is available in public preview right now and will be out next year.
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