A data warehouse is a repository for historical information, allowing analysts to evaluate multiple sources of data in order to discover actionable insights. A data warehouse can be deployed on premises or in the cloud. Which one you choose depends on your needs as a business and considerations like scalability, cost resources, control and security.

Data warehouses are designed for storing large amounts of historical enterprise data and performing deep data analysis for business intelligence and reporting (BI). They can be used to store both non-relational and relational information. They are usually structured, meaning that the data is loaded, extracted and transformed (ELT) to conform to pre-defined schemas before it is stored. This makes running queries against them much simpler than directly against operational source systems.

Traditional data warehouses on premises require expensive hardware and software in order to host them. Their storage is limited compared to their compute capacity, and they must regularly delete old data in order to have enough space for current data. Data warehouses allow you to conduct historical searches that are impossible with operational systems, since they only refresh with real-time data.

A cloud-based, data store or managed service, is fully automated and a highly performant solution. It is a great option for companies that require the analysis of dataroomtechs.info/what-does-a-venture-capitalist-look-for-in-a-start-up/ large quantities of data over the long-term. It is often a economical alternative to on-premise data warehouses since it does not need to use oversized servers and provides flexible pricing. You can pay by throughput or hourly usage, or the amount of resources you are allocated.