Hello everyone, today I will be writing about data warehouses. This topic is fresh in my mind because the company I work for is thinking about upgrading their reporting system. Some of the concepts relating to data warehouses are a bit abstract, so I would recommend finding online resources that go more in-depth. My coworkers alerted me to Guru99’s lessons on data warehouses, and it helped me a lot. The knowledge I am sharing with you today comes from them.
What is a data warehouse?
The main purpose of a data warehouse is to consolidate data from many disparate sources into a single system. The data can then be leveraged to enhance business intelligence decisions. This differs from a traditional database, which usually houses data relating to one specific part of the business. Another thing to consider is that data warehouses store long term data while databases usually store real-time data that can be queried quickly.
Why are data warehouses important for businesses?
One benefit of data warehouses is that they allow you to clean up production databases. This ensures that they run fast and meet business needs. Furthermore, having a singular, sanitized source of data improves business intelligence. Two of the main business intelligence aspects are reporting and an analytics. Reporting helps inform the decision making people of a company. It is important because it can provide information to people who are not necessarily tech oriented. Analytics is the process of analyzing data to gain deeper insights. It is important because it can provide deeper insights that can not be achieved otherwise. These insights can be used to improve the business and make more money. This has been a pretty brief introduction to data warehouses, but I hope their importance has been conveyed.