PostgresSQL project for WGU.

The purpose of this project is to create a data integration pipeline using PostgreSQL to help a hypothetical company determine the highest grossing postal code per quarter. By analyzing the revenue data, the company can make informed decisions about where to launch new stores.

The database consists of two tables:

• sales_detailed2: contains detailed information about each rental transaction, including rental id, postal code, district, rental date, and sales amount.
• sales_summary2: summarizes the rental transactions by postal code and quarter, including the total number of rentals and total sales amount.

The PostgreSQL code used in this project consists of six parts: creating the tables, extracting data and inserting it into the tables, creating a function to summarize the data, creating a trigger to refresh the summary table automatically, creating a procedure to refresh the detailed table, and executing the procedure to refresh the detailed and summary tables.