Data warehouses are sophisticated database systems that collect, integrate, and store data from multiple sources. This powerful tool allows businesses to analyze their data more effectively by providing increased data visibility. The entire process of populating, managing, and analyzing a data warehouse is known as Data Warehouse Process.
This process begins with Extract-Transform-Load (ETL), where data is pulled from disparate sources, transformed into a common format, and then loaded into the target warehouse database. Once the data is loaded, it can be queried and analyzed using tools like Business Intelligence (BI) software. By combining analytics with historical data trends, businesses can have greater insight into customer behavior, market performance, and internal operations. In short, Data Warehouse Process is a powerful skill set that enables organizations to make data-driven decisions in an increasingly competitive marketplace.