![]() ![]() Click on the Create button to proceed to the next step. We intend to use the SQL Database option and we will use the resource type as a single database option. ![]() The wizard to create the instance would be activated and we would be presented with a screen as shown below. To create a new instance of Azure SQL, log on to the Azure portal and navigate to the Azure SQL service dashboard and click on the button the create a new instance. For those who do not already have the database setup in place, we will quickly look at setting up an Azure SQL instance on the Azure cloud. If you don’t, using a cloud account and setting up an instance on the cloud is another alternative. To make things easier and faster from a setup perspective, if you already have a SQL Server instance, you can use it. If we do not have sample data, we can create some as well. To create our SQL Median function, we need a database in place with some sample data in it. Though it may like a complex calculation to perform, it’s not that hard to implement. Be it SQL Server or Postgres, in many versions of such industry-leading databases, we won’t find a ready-to-use median function to employ the median functionality or calculation, and we will have to resort to SQL-based programming to do this calculation. It may come as a surprise to many that while functions like min, max, and average are commonly available in databases, the median function is not so commonly available. To make it convenient for database developers to employ this functionality, databases often wrap this functionality in the form of statistical functions. Some simple examples of statistical calculations are max, min, mean, median, mode, etc which almost everyone would know. Descriptive statistics involves the part of statistics where we perform data profiling or exploration to describe the characteristics of data. Often most basic calculations use descriptive statistics, and at advanced levels where things like machine learning are being employed, inferential statistics like regression, classification, and other methods come into the picture. ![]() Statistics can be divided into two branches – descriptive and inferential. When the data is huge and an exact calculation is not possible for each data point, statistics come to the rescue. When it comes to calculations, statistics play an important role. Often business logic implemented in programmable database objects involves numerous calculations using a variety of mathematical formulae and operators. In this article, we will learn how to implement the median functionality and wrap it into a SQL median functionĬalculations are an integral part of data analysis. ![]()
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