Data Warehouse: Key Tool For Big Data
Datamation, Friday, September 1,2023
Data warehouses are repositories where large amounts of data can be stored and accessed for reporting, business intelligence (BI), analytics, decision support systems (DSS), research, data mining, and other related activities. While they're always associated with large amounts of data, data warehouses are not simply about massive storage capacity-rather, they're about making disparate types of data from many different sources accessible to support decision-making.
This article explains the concept of data warehouses, explores their construction and uses and explains how they differ from other types of large-scale data storage.
What Is A Data Warehouse?
A data warehouse is a storage architecture to support the retention and access of large amounts of data used for a variety of decision-making purposes. They are optimized to retain and process large amounts of data fed into them via online transactional processing (OLTP)-a type of data processing that executes many concurrent transactions as in online banking, shopping, or text messaging, for example- and other high volume systems. This data can then be used for reporting, search, and analysis.