A data warehouse stores historical information, allowing analysts to evaluate multiple sources of data in order to get actionable information. A data warehouse can be installed on the premises or in a cloud. The choice you make is contingent on your specific business requirements and factors such as scalability and cost, security, control and resources.
Data warehouses are designed to store large amounts historical enterprise data as well as performing deep analysis of data for reporting and business intelligence (BI). They can hold relational or nonrelational data. They are typically structured, which means that the data is extracted and loaded before being transformed in order to conform to predefined schemas, before being stored. This makes it simpler to run queries against them, rather than directly against an operational source system.
Traditional warehouses on premises require expensive hardware and software in order to be hosted. Their storage is redirected here limited compared to their compute and they have to constantly delete older data to ensure that they have enough space for the current data. Data warehouses allow users to run historical queries that are not possible with operational systems since they only update with real-time information.
A cloud-based data warehouse or managed service, is a fully automated and highly efficient solution that is a great fit for organizations that need to analyze huge amounts of data over a long period of time. It is often a cost-effective alternative to traditional data warehouses, since it eliminates the need to invest in large servers and has flexible pricing. You can pay according to throughput or hourly usage or an amount that is fixed.
