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PostgreSQLquery~30 mins

Why PostgreSQL has rich data types - See It in Action

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Explore PostgreSQL's Rich Data Types
📖 Scenario: You are working as a data analyst for a company that collects various types of information about products, including their names, prices, availability dates, and locations. You want to use PostgreSQL to store this data efficiently and accurately.
🎯 Goal: Build a simple PostgreSQL table using different data types to understand why PostgreSQL offers rich data types and how they help store diverse information correctly.
📋 What You'll Learn
Create a table named products with columns using different PostgreSQL data types
Include a product_name column with type VARCHAR(50)
Include a price column with type NUMERIC(10,2)
Include an available_since column with type DATE
Include a location column with type POINT
💡 Why This Matters
🌍 Real World
Companies use PostgreSQL's rich data types to store diverse data like prices, dates, and locations efficiently in one database.
💼 Career
Understanding PostgreSQL data types is essential for database administrators and developers to design robust and scalable databases.
Progress0 / 4 steps
1
Create the products table with basic columns
Write a SQL statement to create a table called products with two columns: product_name as VARCHAR(50) and price as NUMERIC(10,2).
PostgreSQL
Need a hint?

Use CREATE TABLE followed by the table name and define each column with its data type inside parentheses.

2
Add a date column for availability
Add a column named available_since with the data type DATE to the existing products table creation statement.
PostgreSQL
Need a hint?

The DATE data type stores calendar dates without time.

3
Add a location column using the POINT data type
Add a column named location with the PostgreSQL POINT data type to the products table creation statement.
PostgreSQL
Need a hint?

The POINT data type stores a geometric point with X and Y coordinates.

4
Complete the table creation with all columns
Ensure the products table creation statement includes all four columns: product_name VARCHAR(50), price NUMERIC(10,2), available_since DATE, and location POINT.
PostgreSQL
Need a hint?

Check that all columns and their data types are included correctly.