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Problem:
(a) Define the following terms:
(i) data mining.
(ii) OLAP.
(b) Differentiate between snowflake schema and star schema. Support your answer with appropriate example of each.
(c) Data warehousing is defined as "a subject-oriented, integrated, time-variant, non-volatile collection of data" in support of management's decision making process.
(i) Define the term subject-oriented and support your answer with appropriate examples.
(ii) Describe the three important differences that exist between an application oriented system and a subject oriented system.
When Are Constraints Checked Under the model constraints are conceptually checked at all statement boundaries (and only at statement boundaries). By default the same is true
Autonomous versus Nested Transactions Though an autonomous transaction is started by the other transaction, it is not a nested transaction for the reasons shown below: (i)
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Using COMMIT The COMMIT statements end the present transaction and make permanent any changes made during that transaction. Till you commit the changes, other users cannot acc
PL SQL Code Review HEADER ELEMENTS File Name Clear, meaningful and descriptive about main objective of the file. Multiple words are joined using underscores which adh
%ROWCOUNT The %ROWCOUNT yields the number of rows affected by the INSERT, UPDATE, or DELETE statement, or returned by a SELECT INTO statement. The %ROWCOUNT yields zero when a
Existential Quantification - SQL Existential quantification-stating that something is true of at least one object under consideration-can be expressed by OR(r,c), meaning tha
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