Making SQL sense

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Author: Gavin Payne

As Head of Digital Transformation at Coeo, I use my technical background as a principal data platform architect to create new Coeo services that help customers use digital technologies, such as cloud data platforms and advanced analytics solutions. I am a Microsoft Certified Architect and a Microsoft Certified Master for SQL Server, and enjoy 10km races and modern history.

Changes to the Power BI family

Microsoft regularly delivers new functionality for its Power BI data analytics and visualisation services, but rarely does it change how you pay for it or how you deploy it.  In May 2017, it has and some of the changes are significant.

The importance of bringing Python to SQL Server

Microsoft proudly announced this week that SQL Server 2017 will be the first relational database engine to ship with built-in artificial intelligence (AI) capabilities.

In the future, database servers running its software won’t just be able to store, query, and analyse data.  Instead, they’ll also be able to perform machine learning, natural language, and neural network processing – the foundations of modern AI.  To make this happen, Microsoft has built support for the Python programming language into its database engine.  But why Python?  What is Python? And how does this compare to the R integration in SQL Server 2016?

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