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Purpose of Database Systems, database systems
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Purpose of Database Systems

Database systems arose in response to early methods of computerized management of commercial data. Purpose of database systems is to manage data. As an example of such methods, typical of the 1950s, consider part of a bank enterprise tha! among other data, keeps information about all customers and savings accounts. One way to keep the information on a computer is to store it in operating system files. To allow users to manipulate the information, the system has a number of application programs that manipulates the files, including programs to:

  • Debit or credit an account
  • Add a new account
  • Find the balance of an account
  • Generate monthly statements

The main Purpose of database systems is to manipulate information and to provide for data mining tasks. System programmers wrote these application programs to meet the needs of the bank.  New application programs are added to the system as the need arises. For example, suppose that a savings bank decides to offer checking accounts. As a result, the bank creates new permanent files that contain information about all the checking accounts maintained in the bank, and it may have to write new application programs to deal with situations that do not arise in savings accounts, such as overdrafts. Thus, as time goes by, the system acquires more files and more application programs.

This typical file-processing system is supported by a conventional operating system. The system stores permanent records in various files, and it needs different application programs to extract records from, and add records to, the appropriate files. Use of database server could be the main task to introduce. Before database management systems (DBMSs) came along, organizations usually stored information in such systems. Some important issues when talk about purpose of database systems is introduction to database, it must be complate to more understand the purpose database systems.

Keeping organizational information in a file-processing system has a number of major disadvantages:

  • Data redundancy and inconsistency. Since different programmers create the files and application programs over a long period, the various files are likely to have different structures and the programs may be written in several programming languages. Moreovel, the same information may be duplicated in several places (files). For example, the address and telephone number of a particular customer may appear in a file that consists of savings-account records and in a file that consists of checking-account records. This redundancy leads to higher storage and access cost. In addition, it may lead to data inconsistency; that is, the various copies of the same data may no longer agree. For example, a changed customer address may be reflected in savings-account records but not elsewhere in the system.
  • Difficulty in accessing data. Suppose that one of the bank officers needs to find out the names of all customers who live within a particular postal-code area. The officer asks the data-processing department to generate such a list. Because the designers of the original system did not anticipate this request, there is no application program on hand to meet it. There is, however, an application program to generate the list of all customers. The bank officer has now two choices: either obtain the list of all customers and extract the needed information manually or ask a system programmer to write the necessary application program. Both alternatives are obviously unsatisfactory. Suppose that such a program is written, and that, several days later, the same officer needs to trim that list to include only those customers who have an account balance of $10,000 or more. As expected, a program to generate such a list does not exist. Again, the officer has the preceding two options, neither of which is satisfactory. The point here is that conventional file-processing environments do not al-Iow needed data to be retrieved in a convenient and efficient manner. More responsive data-retrieval systems are required for general use.
  • Data isolation. Because data are scattered in various files, and files may be in different formats, writing new application programs to retrieve the appropriate data is difficult. Database archiving is one of data isolation techniques. Computer tutorial about database and this data isolation is very important to understanding this issues.
  • Integrity problems. The data values stored in the database must satisfy certain types of consistency constraints. For example, the balance of certain types of bank accounts may never fall below a prescribed amount (say, $25). Developers enforce these constraints in the system by adding approPriate code in the various application programs. However, when new constraints are added, it is difficult to change the programs to enforce them. The problem is compounded when constraints involve several data items from different files.
  • Atomicity problems. A computer system, Iike any other mechanical or electrical device, is subject to failure. In many applications, it is crucial that, if a failure occurs, the data be restored to the consistent state that existed prior to the failure. Consider a program to transfer $50 from account A to account B. If a system failure occurs during the execution of the Program, it is possible that the $50 was removed from account A but was not credited to account B, resulting in an inconsistent database state. Clearly, it is essential to database consistency that either both the credit and debit occur, or that neither occur. That is, the funds transfer must be atomic-it must happen in its entirety or not at all. It is difficult to ensure atomicity in a conventional file-processing system.
  • Concurrent-access anomalies. For the sake of overall pelformance of the system and faster response, many systems allow multiple users to update the data simultaneously. Indeed, today, the largest Internet retailers may have millions of accesses per day to their data by shoppers. In such an environment, interaction of concurrent updates is possible and may result in inconsistent data. Consider bank account A, containing $500. If two customers withdraw funds (say $50 and $100, respectively) from account A at about the same time, the result of the concurrent executions may leave the account in an incorrect (or inconsistent) state. Suppose that the p.ogratrrr executing on behalf of each withdrawal read the old balance, reduce that value by the amount being withdrawn, and write the result back. If the two programs run concurrently, they may both read the value $500, and write back $450 and 9400, respectively. Depending on which one writes the value last, the account may contain either $450 or $400, rather than the correct value of $350. To guard against this possibility, the system must maintain some form of supervision. But supervision is difficult to provide becaused ata may be accessedb y many different application programs that have not been coordinated previously.
  • Security problems. Not every user of the database system should be able to access all the data. For example,i n a banking system,p ayroll personnel need to see only that part of the database that has information about the various bank employees.T hey do not need accesst o information about customer accounts. But" since application programs are added to the file-processing system in an acl hoc manner, enforcing such security constraints is difficult.

Computer development bought us to the development of DBMS and database systems. These difficulties, among others, prompted the development of database systems. In what follows, we shall see the concepts and algorithms that enable database systems to solve the problems with file-processing systems. In most of this book, we use a bank enterprise as a running example of a typical data-processing application found in a corporation.

Purpose of Database Systems

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