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A database model is a type of data model that determines the logical structure of a database. It fundamentally determines in which manner data can be stored, organized and manipulated. The most popular example of a database model is the relational model , which uses a table-based format.
CMDB schematic structures, also known as database schemas, take on multiple forms. Two of the most common forms are those of a relational data model and a semantic data model. Relational data models are based on first-order predicate logic and all data is represented in terms of tuples that are grouped into relations. In the relational model ...
A fully attributed data model contains detailed attributes (descriptions) for every entity within it. The term "database design" can describe many different parts of the design of an overall database system. Principally, and most correctly, it can be thought of as the logical design of the base data structures used to store the data.
Airtable – a spreadsheet-database hybrid, with the features of a database but applied to a spreadsheet. Coda; EditGrid – access, collaborate and share spreadsheets online, with API support; discontinued since 2014; Google Sheets – as part of Google Workspace; iRows – closed since 31 December 2006; JotSpot Tracker – acquired by Google Inc.
The following is provided as an overview of and topical guide to databases: Database – organized collection of data, today typically in digital form. The data are typically organized to model relevant aspects of reality (for example, the availability of rooms in hotels), in a way that supports processes requiring this information (for example, finding a hotel with vacancies).
Database design is the organization of data according to a database model. The designer determines what data must be stored and how the data elements interrelate. With this information, they can begin to fit the data to the database model. [1] A database management system manages the data accordingly.
A functional database does not only provide a common interactive data store. It also brings together models developed by analysts with knowledge of a particular area of the business that can be shared by all users. To facilitate this, a functional database retains the spreadsheet’s interactive cell-based modelling capability.
A semantic data model can be used to serve many purposes. Some key objectives include: [1] Planning of data resources: A preliminary data model can be used to provide an overall view of the data required to run an enterprise. The model can then be analyzed to identify and scope projects to build shared data resources.