Working with Date and Time calculations is an integral part of any Data Analytics solution. Be it financial data or any data related to sales, dates always play a pivotal role in analyzing the trends and hence draw a pattern out from them. Some of the most commonly used KPIs that involve date and time calculations are monthly sales, quarterly web traffic, year-over-year growth etc. These KPIs help businesses understand and gauge their performance and also aids in making decisions necessary for their development. In this article, we are going to explore some of the important Date and Time functions that can be used in PostgreSQL and how they can be implemented henceforth.
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