Tag : sql server 2017


Python use case – Get employees for given skill set – SQL Server 2017

In the previous blog post “Python use case – Map unequal comma separated values from two columns – SQL Server 2017“, we demonstrated a use case example of Python in SQL Server 2017. Now, in this post, “Python use case – Get employees for given skill set – SQL Server 2017”, we are going to explore another use case example of Python in SQL Server 2017.

As Microsoft has integrated Python in SQL Server 2017 for advanced data analytics and machine learning purpose, it can also be used to ease the complex data transformation and analysis which might be tedious and a bit complex while doing the same using T-SQL.

Let’s create the required table with the sample data to demonstrate the use case example.

Python use case – Get employees for given skill set

Assume that, we have a table employee master named as tbl_EmpMaster which has … More


Python use case – Map unequal comma separated values from two columns – SQL Server 2017

We know that Microsoft has integrated Python in SQL Server 2017 to enable rich data analytics capabilities within the database itself. Python is one of the most powerful languages which provides lots of built-in libraries for advanced data analytics and transformations. We can use Python for almost everything from website development to robotics and Data Science. In SQL Server 2017, Python can be used primarily for Machine learning purposes but it is not limited to that only. We can also use Python for complex data transformations and analysis which might be a bit tedious and complex while doing the same using T-SQL in SQL Server.

In this post, we will be exploring an use case example of Python for data transformation in SQL Server 2017. If you want to read more about Python and how to use it in SQL Server, you can visit my previous blog post “Why More


Why Python and how to use it in SQL Server 2017

Microsoft has integrated Python in SQL Server 2017 which can be used for in-database analysis purpose. In this post, we are going to explore “Why Python and how to use it in SQL Server 2017”, and then we will explore that how we can use it in SQL Server 2017.

Why Python

Python is a general purpose object oriented programming language which can be used to develop applications for a variety of domains. We can use Python for almost everything from desktop and website development, gaming, robotics, scientific and numeric computing to spacecraft control and much more. Python is a high-level programming language which is an interpreted language (execute line by line) instead of compiled language. The Python has gained popularity because of its user friendliness. The developers fall in love with Python because it is easy to learn, but still very powerful. The technology giants like Google, YouTube, Dropbox, … More


SQL Server 2017 New Features

Microsoft has launched the most recent SQL Server 2017 release candidate (RC1, July 2017). It can be downloaded from this link. SQL Server 2017 will run on both Windows as well as on Linux OS. It also supports macOS via Docker too. In this post, we will discuss the new features of SQL Server 2017.

SQL Server 2017 New Features (SQL Server vNext)

Though the SQL Server 2017 has many new features, in this post, we are going to highlight the features which can be mostly used by SQL Server Developers.

1. SQL Server Machine Learning Services – R and Python

SQL Server 2016 integrated the R programming which can be run within the database server and can be embedded into T-SQL script too. Now, in SQL Server 2017, we can execute the Python script within the database server itself. Both, R and Python are most popular programming language … More