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Breaking into Subsystems
Decomposition is a significant technique for coping with complexity based on idea of divide and conquers. In dividing a problem into sub problems, the problem becomes less complex and easier to overlook and to deal with. Frequently dividing a problem will lead to sub problems which are small enough so that they can be conquered. After all sub problems have been conquered and solutions to that problem have been found, solutions need to be combine in order to obtain the solution of whole problem. The history of computing has seen two forms of decomposition: object-oriented and process-oriented decomposition.
Whst is logical schema ? Logical schema is the entire database.
Creating a view: A query can be embedded within the CREATE VIEW STATEMENT A query can have complex select statements containing join, groups and sub- queries A quer
Relational Model: The relational model uses a collection of tables to represent both data and the relationships among those data. Each table has multiple columns and each column h
Explain the concept of QBE? Query-by-example represents a visual/graphical approach for accessing information in a database by the use of query templates called as skeleton tab
Which operator is Cartesian product in relational algebra? Cartesian product in relational algebra is a binary operator. (It requires two operands. e.g., P X Q)
Which component is not included in database environment ? A users component is not included in database environment.
Describe the Menu based interfaces for web clients or browsing? Menu-Based Interfaces for Web Clients or Browsing - These interfaces present the user along with lists of option
What is a Built-in A notation of identity is built-into the data model or programming language and no user-supplied identifier is needed. This form of identity is used in objec
Describe Embedded Query Language? Embedded Query Language - A query language (e.g., SQL) can be implemented in two ways. It can be used interactively or embedded within a host
What are the three data anomalies that are likely to occur as a result of data redundancy? Can data redundancy be completely eliminated in database approach? Why or why not? A
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