A Holistic View of Database Management System (DBMS) – Part 6 Inheritance An individual usage every above-mentioned features of Entity Relationship (ER) diagram in order to build classes of items in object oriented programming (OOP). The particulars of entities are normally concealed from the end user; this procedure is known as abstraction. Inheritance is a significant feature of Generalization as...
Author: Sunny Singh
A Holistic View of Database Management System (DBMS) – Part 5
A Holistic View of Database Management System (DBMS) – Part 5 Entity Relationship (ER) Diagram Representation An in detailed explanation about how the Entity Relationship model is signified by means of an Entity Relationship diagram. Any real world object, for an instance entities, columns or attributes of an entity, set of relationships, as well as columns or attributes of relationship...
A Holistic View of Database Management System (DBMS) – Part 4
Entity or Real World Object The entity can be an actual world item, either moving or motionless, which can be effortlessly distinguishable. For an instance, in a college database, Students, Faculty, Classes, as well as Courses which are offered can be taken as the entities. Each of these entities has a number of column or attributes or properties which give...
A Holistic View of Database Management System (DBMS) – Part 3
Relational Model The widespread data model in DATABASE MANAGEMENT SYSTEM (DBMS) is the Relational Model. It is mainly a scientific model than any other models. This particular model is based on first (1st) order predicate logic as well as describes a relation or table as an n-ary relation or table. The key highpoints of this relational model are: · Data...
A Holistic View of Database Management System (DBMS) – Part 2
ARCHITECTURE The design of a Database Management System (DBMS) relies on its architecture. It can be centralized or else decentralized or hierarchical. The architecture of a Database Management System (DBMS) can be perceived as either one (1) tier or multi (N) tier. Multi (N) tier architecture distributes the full system into connected however independent multiple (n) modules, which can be...
A Holistic View of Database Management System (DBMS) – Part 1
Introduction Database is a group of associated data as well as data is a pool of facts and figures which can be administered to create information. Generally data signifies recordable details. Data helps in creating information, which is grounded on facts. For an instance, if an individual have data about grades achieved by every students, an individual can then determine...
Distributed Databases with Client Server Architectures Part – 7
An Outline of Client – Server (CS) Architecture As it was mentioned in the article introduction, full scale Distributed Database Management Systems (DDBMS) have not been advanced to support every category of functionalities which was discussed so far. As an alternative, distributed database applications are being established in the background of the client – server (CS) architectures. It is at...
Distributed Databases with Client Server Architectures Part – 6
Information Transmission Expenses of Distributed Query Processing In a distributed system, numerous extra factors make difficulties in processing the query. The first is the cost of transporting information over the network. This information consist of intermediate files which are transmitted to another sites for additional processing, as well as the final result files which may have to be transported to...
Distributed Databases with Client Server Architectures Part – 5
Merged Database Management Systems Issues: – The kind of heterogeneity existing in Merged Database Management System may possibly arise from a number of sources. These sources first (1st) as well as then point out in what manner the different kinds of independences contribute to a semantic heterogeneity which must be resolved in a heterogeneous merged database management system. · Alterations...
Distributed Databases with Client Server Architectures Part – 4
Data Duplication and Allocation Duplication is beneficial in refining the obtainability of data. The maximum extreme case is replication of the full database at every single site in the distributed system, as a consequence constructing a completely duplicated distributed database. This can increase obtainability extraordinarily for the reason that the system can carry on to operate as long as minimum...