The Relational Model For Data Storage

1994 Words Nov 3rd, 2015 8 Pages
The relational model, which uses predefined tabular relations to store data, has remained the preeminent model for data storage since it was first implemented in the early 1980s. However, due to the proliferation of the Internet, today data flows in and out of organizations quickly, and most of this data is in a semi-structured state that is designed for communication over http. It is difficult to fit this complex data into a flat two dimensional array. For that reason, it is imperative that companies have the ability to store data in a semi-structured format compatible with modern network communications as well as various platforms and devices. The market has realized this and responded with document stores that support formats, such as JSON and XML, which store data in a flexible schema and are compatible with web technologies. This paper will review current document storage solutions and show that the JSON format is superior to the XML format for document storage. This paper will advocate that support for JSON be integrated into the SQL language and that all major relational database vendors begin to support the management of data without a predefined structure using JSON over XML.
Keywords: JSON, Semi-structured Data, Schemaless, NoSQL, XML
Semi-structured Data Storage for A Relational Database
Doctor Edgar Codd’s relational model has existed as the preeminent model for data storage for decades. The relational model, which is based on elementary set theory,…
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