A data warehouse is where you can store historical data, which allows analysts to compare multiple data sources in order to discover actionable insights. A data warehouse can be installed on premises or in the cloud. The choice you make is contingent on your specific business requirements and other factors like the ability to scale and cost, control, security, and resources.
Data warehouses are used to store large amounts of historical data from an enterprise and provide in-depth analysis for reports or business intelligence (BI). They can store relational as well as nonrelational data. They are typically structured, meaning the data is loaded, extracted and transformed (ELT) to be in line with pre-defined schemas prior to when it’s stored, which makes running queries against them much easier than executing them directly against source systems that are operational.
Traditional data warehouses that are on premises require expensive hardware and software to host them. Their storage capacity is limited to their compute capacity, and they must constantly discard older data in order to keep enough space for the current data. Data warehouses enable you to run historic queries that are not possible with operational systems as they only update with real-time data.
A cloud-based data warehouse, or managed service, is an automated and highly efficient solution that is a perfect option for businesses that need to analyze massive quantities of data over time. It is often a better alternative to data warehouses that are on-premises since it eliminates dataroomtechs.info/virtual-data-warehouses-compared-to-traditional-technologies/ the need for large servers and provides a variety of pricing options, including pay per throughput or per hour of usage or with a fixed cost for a predetermined amount of resources.