Explain specialization and generalization with example.

 Specialization

  • Specialization is a process that defines a group of entities that is divided into subgroups based on their characteristic.
  • It is a top-down approach, in which one higher entity can be broken down into two lower-level entities.
  • It maximizes the difference between the members of an entity by identifying the unique characteristic or attributes of each member.
  • It defines one or more subclass for the superclass and also forms the superclass/subclass relationship.
  • For example:

Generalization

  • Generalization is the process of generalizing the entities which contain the properties of all the generalized entities.
  • It is a bottom approach, in which two lower-level entities combine to form a higher-level entity.
  • Generalization is the reverse process of Specialization.
  • It defines a general entity type from a set of the specialized entity type.
  • It minimizes the difference between the entities by identifying the common features.
For example:



Comments

Popular posts from this blog

Suppose that a data warehouse for Big-University consists of the following four dimensions: student, course, semester, and instructor, and two measures count and avg_grade. When at the lowest conceptual level (e.g., for a given student, course, semester, and instructor combination), the avg_grade measure stores the actual course grade of the student. At higher conceptual levels, avg_grade stores the average grade for the given combination. a) Draw a snowflake schema diagram for the data warehouse. b) Starting with the base cuboid [student, course, semester, instructor], what specific OLAP operations (e.g., roll-up from semester to year) should one perform in order to list the average grade of CS courses for each BigUniversity student. c) If each dimension has five levels (including all), such as “student < major < status < university < all”, how many cuboids will this cube contain (including the base and apex cuboids)?

Explain market-Oriented Cloud computing architecture.

Describe how cloud computing technology can be applied to support remote ECG monitoring.