While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides. In my October 2022 article, “How to choose a cloud machine ...

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...

Microsoft last week announced a wave of new features for its data platform, along with the SQL Server 2017 name and what Microsoft calls a “production quality” beta release. Other important changes ...

After the pushing through the first release candidate for SQL Server 2019 in August, and its refresh just a few days later, Microsoft announced general availability for the database management system ...

This limitation also applies to SQL Server Machine Learning Services in R and Python. Announcing SQL Server Diagnostic Extensions for SSMS SQL Server creates stack dumps when there are very serious ...

Microsoft introduced a new service into its "intelligent edge" portfolio at the recent Build conference. Here's how Azure SQL Database Edge will fit into the company's broader vision for a more ...

The general availability of SQL Server 2017 for Windows and Linux is among the announcements made by Microsoft at its Ignite conference in Orlando. SQL Server 2017 is the first cross-platform release ...

Google BigQuery is making it possible for data analysts to deploy machine learning (ML) models using only simple SQL statements, potentially reducing the ML skills gap. Our team tests, rates, and ...

OAKLAND, Calif.--(BUSINESS WIRE)--Fivetran, the leading provider of automated data integration, today announced advancements in its integration with Databricks, the Data and AI Company, extending the ...