In a previous article I discussed the various methods available in SQL Server 2016 & 2017 to perform in-database analytics. In the article I used a model that was stored directly inside SQL Server to perform predictions. But what if your models are not stored inside SQL Server but are build inside Azure Machine Learning? […]

Starting from SQL Server 2016 Microsoft put a lot of effort into integrating various languages used in machine learning and statistical analysis inside their database engine. In SQL Server 2016 Microsoft introduced the integration of the R language and in SQL Server 2017 Python was added. Both these languages give you the advantages of bringing […]