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Compared with file systems, databases have some disadvantages: 1. High cost of DBMS which includes: – Higher hardware costs – Higher programming costs – High conversion costs 2. Slower processing of some applications 3. Increased vulnerability 4. 1. Summary The main objective of database management system is to store and manipulate the data in an efficient manner. A database is an organized collection of related data. All the data will not give useful information. 1. DBMS vendors and their products vendor product IBM –DB2/MVS –DB2/UDB –DB2/400 –Informix Dynamic Server (IDS) –Access –SQL Server –DesktopEdition(MSDE) –MySQL –PostgreSQL –Oracle DBMS –RDB –Adaptive Server Enterprise (ASE) –Adaptive Server Anywhere (ASA) –Watcom Microsoft Open Source Oracle Sybase decisions.
Application Server #1 then invokes the appropriate service on Application Server #2 and receives the requested data which is then passed on to the client. Application Servers can take many forms. An Application Server may be anything from custom application services, Transaction Processing Monitors, Database Middleware, Message Queue to a CORBA/COM based solution. 16 Situations where DBMS is not Necessary It is also necessary to specify situations where it is not necessary to use a DBMS. If traditional file processing system is working well, and if it takes more money and time to design a database, it is better not to go for the DBMS.
16. Mention the various categories of Data Model. 17. ” Describe the types of schemas that exist in a database complying with the three levels ANSI/SPARC architecture. Database schema is nothing but description of the database. The types of schemas that exist in a database complying with three levels of ANSI/SPARC architecture are: – External schema – Conceptual schema – Internal schema 2 Entity–Relationship Model Learning Objectives. This chapter presents a top-down approach to data modeling. This chapter deals with ER and Enhanced ER (EER) model and conversion of ER model to relational model.