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List and describe the different types of databases
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COMPARATIVE ANALYSIS OF LEGACY DATABASE SYSTEMS:
Definition of Legacy System:
In the context of computing, the legacy system refers to the programming languages, application software’s and outdated computer systems. The legacy systems may also be linked to the terminology and processes that are no longer applicable to the current contexts, thus creating confusion. In theory, it would be best to have access to use the latest technology. But in the reality, most of the organizations have legacy systems, to some extent. In other words, the legacy system is also called as legacy platform.
Definition of Database Legacy:
The flat file databases, hierarchical databases and network databases are usually referred as legacy databases. They represent the ways of people which is used to organize information in the prehistoric times, about 30 years ago.
1. Flat File Databases:
One of the earliest database system is the flat file database management system. The flat file database is a very simple management system, mostly unstructured data files include in it. It was used in the old notebooks and making grocery lists etc. In the flat file database management system, relevant data is putting into the separate files and also organizing them into the tables. The major disadvantages of the flat file database management system are data redundancy, slow processing speed, error-prone storage and the retrieval.
For designing the database flat files, Microsoft Excel is often used. In the below table, the flat file database management system for an order entry system that gathers information about the customers orders they have placed and products which the customers had ordered. If data is placed sequentially, your file will contain all the informat...
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...ized as several trees that share many branches. In the network database model these relationships came to be known as sets.
Network databases share several problems with the hierarchical database management system. Both are the very inflexible, and also set relationships and record the structures that must be predefined. The major disadvantage of both network and hierarchical database management systems was that they are the programmer’s domains. To answer the simplest query of this database, one had to create the program that navigated the database management structure and produce an output; unlike SQL, this program was written in the procedural, and required the great deal of the knowledge of both database management structure and underlying the operating system. As a result, these type of programs were not portable and took enormous amount of time to write.
Platforms are an important component of software engineering in that they are the basis in allowing the tools to be available on platforms which are less expensive and therefore allowing the tools to become more available. Platforms are defined as a hardware or emulated architecture. Platforms involve a hardware architecture and a software framework in order to allow applications be run by them. Before a system can be developed, the platform must be defined in order to figure out the appropriate software and hardware to be utilized. Each of the different platforms has slightly different requirements and means of maintenance. Also, the req...
By January 1994 the legacy system surpassed its standard modification requirements and encountered a malfunction that resulted in corrupting the database. The company was almost completely shut down for two days. It became clear that the legacy system would not continue much longer and a solution was required. The question that demanded attention within this case pertained to how the legacy system should be replaced.
In 1977, Larry Ellison, Bob Miner, and Ed Oates founded System Development Laboratories. After being inspired by a research paper written in 1970 by an IBM researcher titled “A Relational Model of Data for Large Shared Data Banks” they decided to build a new type of database called a relational database system. The original project on the relational database system was for the government (Central Intelligence Agency) and was dubbed ‘Oracle.’ They thought this would be appropriate because the meaning of Oracle is source of wisdom.
For example, each row of a spreadsheet may store information about a car that Sutton Dealership will sell. Each column may store a different aspect of the car's information, such as model, make, colour, engine size, etc. The spreadsheet software can analyse this data by counting the number of people who purchased car with 2.0 litre engine size, listing all the people who purchased white cars, or performing other calculations. This makes spreadsheets similar to database.
Data structure- In order to use unstructured data that does not fit neatly into rows and columns the non relational databases are designed to do this. As most of the data generated is unstructured this is a definite requirement. Scaling-by taking advantage of cheap ,commodity servers the system can be scaled horizontally.
The database application design can be improved in a number of ways as described below:
[7] Elmasri & Navathe. Fundamentals of database systems, 4th edition. Addison-Wesley, Redwood City, CA. 2004.
The other challenge is the technological obsolescence. As a result of the rapid growth of the electronics industry, many of the electronic parts in products have a procurement life cycle that is significantly shorter than the life cycle of the system they go into a part becomes obsolete when it is no longer manufactured, either because demand has dropped to low enough levels of the manufactures choose not to make it or because materials or technologies necessary to produce it are no longer available. The applicable definition of software obsolescence varies depending on the system that uses the software and where and how that system is being used. Perhaps the greatest challenges to electronic record keeping which are evolve of the technology. New hardware and software are replacing the products and methods used to record, store and retrieve digital information on cycles of two to five years. No system is currently capable of more than thirty years of retention and access. With the continuous upgrade of operating systems, applications and storage technology, undesirability of access will overtake any durable assortment of hardware and software.
Technology factors relate to the system software, support for legacy systems and the IT infrastructure on which the system will be put on. Information systems are powered by information technologies which need to last throughout the system development life cycle.
Databases are becoming as common in the workplace as the stapler. Businesses use databases to keep track of payroll, vacations, inventory, and a multitude of other taske of which are to vast to mention here. Basically businesses use databases anytime a large amount of data must be stored in such a manor that it can easily be searched, categorized and recalled in different means that can be easily read and understood by the end user. Databases are used extensively where I work. In fact, since Hyperion Solutions is a database and financial intelligence software developing company we produce one. To keep the material within scope I shall narrow the use of databases down to what we use just in the Orlando office of Hyperion Solutions alone.
Some faculties and departments are already using Oracle applications in their day-to-day operations. As time goes by, more and more information users will be working with an application based on Oracle database technology. If you get the opportunity to be a member of an application development team, you will become familiar with the workings of Oracle and relational databases. Other users may have to learn about this popular database management system through their own experience. This article is for our readers who, as of yet, have no access to Oracle databases but have a yearning for learning what they're all about.
The Database Management System (DBMS) is software that enables the users to define, create, maintain and control the access to the database. It is a software that interact with the user’s applications programs and it database. Meanwhile, information retrieval system is a system that involved the activity that the systems obtain the information. The obtaining information action need the information from it resources.
A database management system in the main software tool of the database management approach because it controls the creation, maintenance, and use of the database of an organization and its users. The three major functions of a database management system are first to create new database and database application. Second to maintain the quality of the data in an organized database. And last to use the database of an organization to provide the information that its end users need. An example of a database management approach in a banking information system. Note how the savings, checking and installment loan programs use a database management system to share a customer database. Note also that the database management system allows a user to make direct, ad hoc interrogations of the database without using application programs.
of multiple types of end users. The data is stored in one location so that they
In order to access information from a database, it is required to have a database management system (DBMS). These systems are computer software applications that, in order to analyze the data, interact with the user and the database itself. The best known are [6]: