History of Database Technology and Data Models Essay

Imagine that you stimulate bank and along with that, you stimulate your banks credibility to your 100,000 clients. Just writing down apiece clients information in a piece of piece would not be very secure and practical nowadays. Thats how an electronic informationbase system comes in the picture. In this fast growing world, a engine room like a database system is very necessary for establishments that hold a huge amount of data. However, the development of the current database technology and database models underwent an intricate transit before it comes to a full bloom.In 1964, the word database technically denoted collections of data shared by end-users of time sharing computer systems and was coined by workers in a military information system. In addition, around 1960s, private companies started to own computers because of their increasing storage capabilities. two data models were introduced earnings (CODASYL) and hierarchical (IMS) model. During that time, database anx iety systems were unsystematic. There no actual theoretical model about data organization.There was more emphasis on the processing of the records rather than the overall structure of the database system. During the 1970s, many astonishing breakthroughs on databases were witnessed. It was about the 1970 that E. F. Codd proposed a relative model for databases. The presented a system that separates the sensible organization (schema) of a database from the sensible storages and since that, it has been a standard in the field of computing. The term Relational Database perplexity brass (RDBMS) was coined during this period.Theories about databases had finally made its way to the mainstream research projects. Two main prototypes for RDBMS were created Ingres that was developed at UCB and this system utilize QUEL as query language and System R that was developed at IBM San Jose and this system apply SEQUEL as query language. Meanwhile, in 1976, P. Chen suggested the Entity-Relatio nship (ER) model for database rule which was proved to be vital in conceptual data models. This proffer enabled the designers to focus more on the data usage rather than its logical table structure.Commercialization of database systems for businesses began during the 1980s as demands for computers boomed. In addition, Structured motion Language (SQL) became a standard for database systems during these periods. DB2 became IBMs flagship and development of IBM PC paved the way for more database companies and products like Dbase III and IV, Database Manager, OS/2 and Watcom SQL. The network and hierarchical models for database similarly started to disappear in the background. When the 1990s came, only a few surviving companies began to offer complex products at higher prices.Developments on database systems were more focused on client tool applications such as PowerBuilder (Sybase), Oracle Developer and VB (Microsoft). Some personal productivity tools related to database counsel w ere also created such as Microsoft Access and Excel. Some prototypes of Object Database Management System (ODBMS) also arose in the 1990s. It was also during the 1990s that the World Wide clear appeared. Large investments were made by Internet-related companies on Web and database connectors. Examples of these connectors are energetic Server Pages (ASP), Java Servlets, JDBC, ColdFusion, Dream Weaver and Oracle Developer 2000.A good growth of database applications was still observed in the early 21st century. threesome companies continually dominate the database market Oracle, IBM and Microsoft. In the near future, it is generally seen that databases management will be more sophisticated since huge systems (systems with storage calculated in terabytes) are currently existing today. Most of these systems are used by most projects with science databases (genome projects, space exploration data). However, the next vast thing on is the usage of XML with Java and other emerging tech nologies as a way to store data.