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The first set function that we ll look at is the COUNT function. As the name implies, the COUNT function counts the number of rows in a table or the number of values in a column, as specified in a SELECT statement. When you use the COUNT function, you must specify a column name to count the number of non-null values in a column, or an asterisk to count all the rows in a table regardless of null values. For example, if you want to know the total number of rows in the ARTIST_CDS table, you can use the following SELECT statement:

Process Customer Invoice ($100)

SELECT COUNT(*) AS TOTAL_ROWS FROM ARTIST_CDS;

Clearly, the idea of refreshing the current data protection policy and making it accessible to employees was part of the battle With that came a better understanding of everyone s responsibility in the matter For example, Uma was pleasantly surprised that.

In this statement, the COUNT function is used with an asterisk in parentheses to count every row in the ARTIST_CDS table and return the total count. The returned value is listed in the TOTAL_ROWS column, a name given to the column returned in the query results, as shown in the following results:

The rst step in normalization is to choose a unique identi er, which is an attribute (column) or set of attributes that uniquely identi es each row of data in the relation.

TOTAL_ROWS --------10

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Trentina s department had no problem with paying for a recovery on demand option for its current backup solution and for the purchase of additional hard disks for its file server All you had to do was ask! she said Many technical changes had to be made to ensure that security was maintained Xenico had recently begun to experience intermittent server failures and loss of data The exact cause for each of these incidents is unknown, but it is suspected that one of the current employees is responsible The current server configuration consists of a single Administrator account The password for this account was known by five IT staff members, each of whom required use of the account to perform his or her job function To solve some of the obvious configuration problems, IT managers were told to set up separate accounts for each of the users with Administrator access.

As you can see, the query results include only one value (one row with one column), as can be expected of a set function used without any row grouping. The value of 10 indicates that the ARTIST_CDS table contains 10 rows.

As with any other sort of SELECT statement, you can qualify your query results by adding the necessary clauses to the statement. For example, suppose you want to find out how many rows include a NUMBER_SOLD value greater than 20. You can modify your SELECT statement to include a WHERE clause:

Each of these users would have a regular account and an Administrator account They would be instructed to use the Administrator account only when necessary The password of the original Administrator account was changed and was given only to the IT Manager Additionally, server auditing was set up to track any system-wide changes Uma also instructed systems administrators to regularly review the audit log Since IT staff work on shifts, logon hour restrictions were set for specific users Workstation logon restrictions were enforced so that only workstations in the IT department could access servers Password policies were revised and account lockouts due to bad passwords were enabled Finally, remote administration software was configured to restrict the IP addresses from which Administrators may log on All of these changes resulted in a better-enforced security and data protection plan for a large enterprise.

The unique identi er will eventually become the primary key of the table created from the normalized relation Normalization absolutely requires that a unique identi er be found for each relation In many cases, a single attribute can be found that uniquely identi es the data in each row of the relation to be normalized When no single attribute can be found to use for a unique identi er, you may be able to nd several attributes that can be concatenated (put together) in order to form the unique identi er When unique identi ers are formed from multiple attributes, each attribute still remains in its own column you simply de ne the unique identi er as consisting of more than one column In a few cases, there is no reasonable set of attributes in a relation that can be used as a unique identi er.

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