SQL Server Dev is a version of Microsoft's relational database management system that is specifically designed for developers. It includes tools and features that allow developers to easily create, manage, and optimize databases for their applications.
Python is a popular programming language that is commonly used for data analysis, machine learning, and web development. It is known for its simplicity, versatility, and large library of powerful tools and frameworks.
ML Server, also known as Microsoft Machine Learning Server, is a platform that allows developers and data scientists to build and deploy predictive models using a variety of programming languages, including Python, R, and SQL. It also offers tools for data preparation, model deployment, and monitoring.
SQL Server Dev and Python can be used together to create powerful data-driven applications. Developers can use Python to analyze and manipulate data stored in SQL Server databases, and then use SQL Server Dev to optimize and manage the databases for their applications.
Using SQL Server Dev and Python for machine learning offers several benefits, including the ability to easily integrate with existing databases, support for a wide range of machine learning algorithms, and the ability to scale and deploy models in production using SQL Server Dev's built-in tools and features.