Introducing data warehouse design for university libraries Case study: Sri Palee campus library

Abstract

Libraries maintain their information resources in a variety of forms, so their use may be limited. Library information resources are currently being digitized, but they are no longer used for data analytics. But it is to examine how effectively library data can be utilized by using big data technology for libraries, as in other fields. When creating a data warehouse, it appears that a library has two main types of data: collected information in the library and other data, such as reader transactions. All that data can be used for data warehouses. Sri Pali Campus library which has its own collection and other data like transactions, is the domain for this data warehouse. When processing data as appropriate for a data warehouse the challenges to be faced can be seen here as well. Data warehousing benefits the library to make decision-making data exhibits, monitor reader behavior as well as manage the collection accordingly, and integrate library data with the latest technology to expand access.