This document summarizes a project analyzing procurement data from the city of Los Angeles using Apache Spark. It includes an overview of the project, descriptions of Apache Spark and the Databricks cluster used for analysis. Several Spark SQL queries and visualizations are shown to determine expenses by year, department, item, and other factors. The conclusions recommend reducing transportation costs by building supplier plants closer to Los Angeles.