Calculating product of values in a column in SQL and its business usecase

SQL supports most aggregate functions except one fundamental aggregation to calculate product of values in a column. If you are wondering what could be a scenario where you may have to calculate product of values in a column, here is a business scenario that demands it. Business Scenario: For the sake of brevity, let's say... Continue Reading →

Why is SQL one of the most powerful tools in the arsenal of an Analyst?

Out of information analysis, comes wisdom. It’s this information analysis that is one of the important reasons that created the need for storage of data. The world of databases was sprouted to address this need of data storage and many languages were born to interact and deal with the data stored in these databases. But... Continue Reading →

A White Paper – Solving Relational Division problem in SQL – The Analyst Way

Hi readers..!! Here I go posting a white paper on one of the classical and intellectually challenging problems that an analyst might come across. The paper is titled - "Understanding and Solving Relational Division problems in SQL - The Analyst way". Hope you enjoy reading this paper. Please leave your comments and suggestions, if any, here.... Continue Reading →

Truncate time part from Datetime column or literal in Oracle SQL

I have shown how to truncate the time part from a datetime column value in SQL Server T-SQL in one of my previous posts here - Here is the same (how to truncate the time part from a datetime column value) in Oracle SQL: TRUNC(datetime_column) or TRUNC(datetime_expression) very straight forward...!! isn't it.. ? 🙂

Single T-SQL query to swapping the values of two columns without using temporary column

How to swap the values of two columns of a table ? Let me explain the scenario with an example - Let's create a table named "Employees" with columns "First_Name" and "Last_Name". Then populate the table with some fictitious data. Then view the results once and then interchange the values in the "First_Name" and "Last_Name" columns... Continue Reading →

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