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Brief History Of Databases

In the 1960’s, the use of main frame computers became widespread in many companies. To access vast amounts of stored information, these companies started to use computer programs like COBOL and FORTRAN. Data accessibility and data sharing soon became an important feature because of the large amount of information recquired by different departments within certain companies. With this system, each application owns its own data files. The problems thus associated with this type of file processing was uncontrolled redundancy, inconsistent data, inflexibility, poor enforcement of standards, and low rogrammer maintenance.

In 1964, MIS (Management Information Systems) was introduced. This would prove to be very influential towards future designs of computer systems and the methods they will use in manipulating data. In 1966, Philip Kotler had the first description of how managers could benefit from the powerful capabilities of the electronic computer as a management tool. In 1969, Berson developed a marketing information system for marketing research. In 1970, the Montgomery urban model was developed stressing the quantitative aspect of management by highlighting a data bank, a model bank, and measurement statistics bank.

All of these factors will be influential on future models of storing data in a pool. According to Martine, in 1981, a database is a shared collection of interrelated data designed to meet the needs of multiple types of end users. The data is stored in one location so that they are independent of the programs that use them, keeping in mind data integrity with respect to the approaches to adding new data, modifying data, and retrieving existing data. A database is shared and perceived differently by multiple users. This leads to the arrival of Database Management Systems.

These systems first appeared around the 1970=s as solutions to problems associated with mainframe computers. Originally, pre-database programs accessed their own data files. Consequently, similar data had to be stored in other areas where that certain piece of information was relevant. Simple things like addresses were stored in customer information files, accounts receivable records, and so on. This created redundancy and inefficiency. Updating files, like storing files, was also a problem. When a customer=s address changed, all the fields where that customer=s address was stored had to be changed.

If a field appened to be missed, then an inconsistency was created. When requests to develop new ways to manipulate and summarize data arose, it only added to the problem of having files attached to specific applications. New system design had to be done, including new programs and new data file storage methods. The close connection between data files and programs sent the costs for storage and maintenance soaring. This combined with an inflexible method of the kinds of data that could be extracted, arose the need to design an effective and efficient system.

Here is where Database Management Systems helped restore order to a ystem of inefficiency. Instead of having separate files for each program, one single collection of information was kept, a database. Now, many programs, known as a database manager, could access one database with the confidence of knowing that it is accessing up to date and exclusive information. Some early DBMS=s consisted of: Condor 3 dBaseIII Knowledgeman Omnifile Please Power-Base R-Base 4000 Condor 3, dBaseIII, and Omnifile will be examined more closely.

Condor 3 Is a relational database management system that evolved in the microcomputer environment since 1977. Condor provides multi-file, menu-driven elational capabilities and a flexible command language. By using a word processor, due to the absence of a text editor, frequently used commands can automated. Condor 3 is an application development tool for multiple-file databases. Although it lacks some of the capabilities like procedure repetition, it makes up for it with its ease to use and quick decent speed. Condor 3 utilizes the advantages of menu-driven design.

Its portability enables it to import and export data files in five different ASCII formats. Defining file structures is a relatively straightforward method by typing the ield names and their length, the main part of designing the structure is about complete. Condor uses six data types: alphabetic alphanumeric C. numeric C. decimal numeric C. Julian date C. dollar Once the fields have been designed, data entry is as easy as pressing enter and inputting the respective values to the appropriate fields and like the newer databases, Condor too can use the Update, Delete, Insert, and Backspace commands.

Accessing data is done by creating an index. The index can be used to perform sorts and arithmetic. dBaseIII DbaseIII is a relational DBMS which was partially built on dbaseII. Like Condor 3, dbaseIII is menu-driven and has its menus built in several levels. One of the problems discovered, was that higher level commands were not included in all menu levels. That is, dBaseIII is limited to only basic commands and anything above that is not supported. Many of the basic capabilities are easy to use, but like Condor, dBaseIII has inconsistencies and inefficiency.

The keys used to move and select items in specific menus are not always consistent through out. If you mark an item to be selected from a list, once it=s marked it can not be unmarked. The only way to correct this is to start over and enter everything again. This is time consuming and obviously inefficient. Although the menus are helpful and guide you through the stages or levels, there is the option to turn off the menus and work at a little faster rate. DBaseIII=s command are procedural (function oriented) and flexible.

It utilizes many of the common functions like: select records C. select fields C. include expressions ( such as calculations) C. redirect output to the screen or to the printer C. store results separately from the application Included in dBaseIII is a limited editor which will let you create commands using the editor or a word processor. Unfortunately, it is still limited to certain commands, for example, it can not create move or copy commands. It also has a screen design package which enables you to design how you want your screen to look.

The minimum RAM requirement of 256k for this package really illustrates how old this application is. The most noticeable problem documented about dBaseIII is inability to edit command lines. If, for example, an error was made entering the name and address of a customer, simply backing up and correcting the wrong character is impossible without deleting everything up to the correction and re-entering everything again. DBaseIII is portable and straightforward to work with. It allows users to import and export files in two forms: fixed-length fields and delimited fields.

It can also perform dBaseII conversions. Creating file structures are simple using the menus or the create command. It has field types that are still being used today by applications such as Microsoft Access, for example, numeric fields and memo fields which let you enter sentences or pieces of information, like a customer=s address, which might vary in length from record to record. Unlike Condor 3, dBaseIII is able to edit fields without having to start over. Inserting new fields or deleting old fields can be done quite easily.

Data manipulation and query is very accessible through a number of built-in functions. The list and display commands enable you to see the entire file, selected records, and selected files. The browse command allows you to scroll through all the fields inserting or editing records at the same time. Calculation functions like sum, average, count, and total allow you to perform arithmetic operations on data in a file. There are other functions available like date and time functions, rounding, and formatting.

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