Data warehousing’s primary goal is to provide users with accurate, timely information in a format that is easy to use. The process involves the loading of raw, unstructured data into a data store that is adapted to the requirements of a particular business. Data warehouses are part of business intelligence (BI) but unlike data lakes they are purpose-driven, and provide analytics specific to the subject.
Data warehousing utilizes a central storage method that allows companies to collect all kinds of data from multiple sources. Then, they run the data through a transform and load process to make it more useful to users. The data is non-volatile which means that once it’s in the warehouse, it isn’t updated, making the process much more efficient than traditional transactional databases.
Data warehouses offer a variety of advantages to businesses. It can lower costs, boost decision-making and give businesses an edge over competitors. It also helps businesses become more informed, which is essential for success in today’s business.
It is crucial to have an idea of how you will set up a data storage facility. This involves identifying the data that requires reorganization and storage and establishing data warehousing the structure of the warehouse and determining the right tools needed to complete the task. A Data Warehouse Design Document (DWD) can be a useful source to help you create a plan. It will help you understand the current data flows and identify any gaps that require to be fixed, as well as give an understanding of how the new structure can work with your existing systems.
