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Introduction: The Essence of Temporal Data
Temporal data, which involves tracking changes over time, is a fundamental aspect of many applications, from financial systems to historical records. PostgreSQL offers robust support for handling temporal data, making it an ideal choice for managing time-based information. In this comprehensive guide, we’ll explore the world of temporal queries in PostgreSQL, starting with the basics and progressing to advanced techniques that can revolutionize your data analysis.
Section 1: The Basics of Temporal Data in PostgreSQL
To begin our journey, let’s establish the groundwork by understanding how PostgreSQL represents temporal data. We’ll explore data types like `timestamp` and `interval` and learn how to create tables that can effectively store time-based information.
