Business Intelligence (BI) has advanced quickly and dramatically in recent years, and many people are taking advantage of it when working with big data. To be the most successful and efficient with this newfound BI power, it’s essential to be able to analyze and harness ALL of your data. I think the most obvious and best way to do that is through a data warehouse. Simply put, a data warehouse is a large store of data that’s collected from multiple different sources within a business.
A data warehouse is used as storage for data analytic work (OLAP systems), leaving the transactional database (OLTP systems) free to focus on transactions. With a significant amount of data kept in one place, it’s now easier for businesses to analyze and make better-informed decisions. If you’re considering building a data warehouse and want to know more about the basic structure, this tutorial has some really great information.