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Microsoft Details SQL Server 2019 Machine Learning Improvements

Microsoft says SQL Server 2019 now has deeper abilities for training machine learning models and more integration with Python and R.

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has this week expanded on the details for its SQL Server 2019 platform. Specifically, the company has discussed the machine learning tools in the database management system. Furthermore, Microsoft also talks about the benefits provided by Big Data Clusters.

SQL Server 2019 brings support for Machine Learning Services and failover clusters. Microsoft says this boosts reliability and makes model generation more efficient.

In terms of model training, SQL Server now offers partition-based modelling. With this introduction, users can train multiple small models through partitioned data. Previously, users were limited to training whole models.

An ability to train multiple small models means users can have greater granularity by breaking data into individual categories without needing to split data.

Elsewhere in its post, Microsoft talks about improvements made to R and support on SQL Server 2019. Both languages are popular amongst SQL users. In terms of Python, the is integrated with the database engines.

“Integration of Python with the SQL server database engine enables you to perform advanced machine learning tasks close to the data rather than moving it around. Insights generated from the Python runtime can be accessed by production applications using standard SQL Server data access methods.”

SQL Server 2019

Microsoft announced the general availability of SQL Server 2019 at Ignite in November. Big Data clusters are arguably the stand out feature in SQL Server 2019. This is a solution for scaling data virtualization build on the Kuberenetes (K8s) container. Elsewhere in the new release, Microsoft has added always-on to SQL Server.

“SQL Server 2019 enables enterprises to gain intelligence over all data types, both structured and unstructured, by combining the power of new big data clusters with enhanced data virtualization,” said John “JG” Chirapurath, Microsoft's general manager of Azure Data & AI, in the blog post.

Tip: If you want to use state of the art machine learning for your projects, consider checking out Deepinfra. They allow you to run top AI models for text, image and audio generation using a simple API with a pay per use model.

Last Updated on February 29, 2024 6:19 pm CET

Luke Jones
Luke Jones
Luke has been writing about all things tech for more than five years. He is following Microsoft closely to bring you the latest news about Windows, Office, Azure, Skype, HoloLens and all the rest of their products.

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