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Data management comprises all disciplines related to handling data as a valuable resource, it is the practice of managing an organization's data so it can be analyzed for decision making. [ 1 ] Concept
The traditional approach for storing data was to use a centralized database, and users would query the data from various points over a network. [ 1 ] An example for a centralized database could be given with the Australian Department of Defense , which centralized their databases in the mid 1970s.
Cultural impediments: Evolutionary database design approach is relatively a newer concept and many well qualified data professionals still advocate the traditional approach. Therefore, most of the databases are still being designed in a serial fashion and evolutionary database design is yet to gain support and traction among experienced data ...
The relational model (RM) is an approach to managing data using a structure and language consistent with first-order predicate logic, first described in 1969 by English computer scientist Edgar F. Codd, [1] [2] where all data are represented in terms of tuples, grouped into relations.
This approach functioned well for decades, but over the past decade, data growth, particularly unstructured data growth, put new pressures on organizations, information architectures and data center infrastructure. 90% of new data is unstructured and, according to a 2018 report, 59% of organizations manage over 10 billion files and objects [3 ...
The base data and the dimension tables are stored as relational tables and new tables are created to hold the aggregated information. It depends on a specialized schema design. This methodology relies on manipulating the data stored in the relational database to give the appearance of traditional OLAP's slicing and dicing functionality.
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