What Is Data Warehousing?
Data warehousing’s main goal is to provide users with accurate and timely information in an easy format to use. The process begins with raw, unstructured data and loads it into a data warehouse that is designed to meet the specific needs of a business. Data warehouses are a type of business intelligence (BI) but unlike data lakes, they are purpose-driven and provide analytics specific to a subject area.
Data warehousing employs a central storage system that allows companies to collect any kind of data from a variety of sources. They then run that data through transformation and loading processes to make it more useful to users. The data isn’t volatile. Once it’s stored in the warehouse and isn’t modified. This makes the process much faster than transactional databases.
Data warehousing provides several key advantages for businesses. It can cut costs, boost decision-making and help businesses www.codaten.de/2023/06/12/what-is-data-warehousing gain a competitive edge over their competitors. It can help companies become more data-driven which is essential to success in the current marketplace.
To implement a data warehouse, it is essential to begin with a plan. This includes identifying data that requires reorganization and storage, establishing the warehouse structure and determining the right tools needed to complete the task. A Data Warehouse Design Document can be a valuable resource to help you develop a plan. It can help you identify the current data flows and determine any gaps that need to be addressed, as well as give an understanding of how the new structure will integrate with the existing systems.