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What are the problems if one were not to normalize? When do these problems surface?
Ans: Database normalization, sometimes considered to as canonical synthesis, is a method for designing relational database tables to minimize duplication of information and, in so doing, to preserve the database against specific types of logical or structural problems, that are data anomalies. For instance, when multiple instances of a given piece of information take place in a table, the possibility exists that these examples will not be kept consistent while the data within the table is updated, leading to a loss of data integrity. A table that is adequately normalized is less vulnerable to problems of this type, as its structure reflects the basic assumptions for while multiple instances of similar information should be denoted by a single instance only.
Project Description: Hi I'm seeking someone to make my dBase application work. I know it's not a 'modern' language but it's what I know. I have written an order program and I ne
Illustrate the statement 'Projection operation distributes over the union operation'. Give an example. Ans: Π L (E 1 ∪ E 2 ) = (Π L (E 1 )) ∪ (Π L (E 2 )) This says th
#question benefits and limitations of data models..
Multiple column Queries: Syntax: SELECT COLUMN1, COL2,...... FROM TABLE WHERE (COLUMN1, COL2, ...) IN (SELECT COLUMN1, COL2,.... FROM TABLE WHERE );
let us consider a table having 2200 records and the fixed size of the table to be considered as 25.then how many numbers of table is requredto perform horizontal fragmentation
CREATE YOUR DATABASE TABLES Your database project must have a minimum of four tables. Include the SQL scripts used to create the tables in your documentation. Explain the tables
Define what Immediate database modification technique uses? Ans: Both undo and redo.
Read the description below and draw an Entity-Relationship diagram for it. You must use the symbols described in the course materials. This database will help the Parents Assocc
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Explain group By clause in SQL? Group By clause in SQL: The GROUP BY clause can be used in a SELECT statement to collect data across multiple records and group the results thro
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