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So far, we ve covered business management best practices, IT recommendations, and the steps involved in creating a data protection plan. Many people like to learn by example; just ask developers how they feel about sample code! If you re one of these people, then this section is for you. The following is a sample data protection plan for a medium-sized business (although most of the policy information you see here will apply to businesses of any size). As you read through the sample plan, think about which elements may or may not apply in your own environment.

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INSERT INTO OFFICES (CITY, REGION, TARGET, SALES, OFFICE) VALUES ('Dallas', 'Western', 275000.00, 0.00, 23) 1 row inserted. Similarly, if Mary Jones (employee number 109) signs up a new customer, Acme Industries, this INSERT statement adds the customer to the database as customer number 2125 with a $25,000 credit limit: INSERT INTO CUSTOMERS (COMPANY, CUST_REP, CUST_NUM, CREDIT_LIMIT) VALUES ('Acme Industries', 109, 2125, 25000.00) 1 row inserted.

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The IT department is dedicated to protecting the company s intellectual property and vital business information, using the resources available for these tasks. To ensure the continued protection of crucial company data, and to accommodate the security needs of the organization, the following policies have been put in place: w Backup limitations Current backup plans are designed to protect only information that is stored on servers. Client workstations will not be backed up, as a general rule, unless otherwise arranged. All network users are encouraged to store information on their home drives (H for most users). This information is actually copied to a network server that will be backed up regularly. Backup frequency Backups of all information will be performed nightly, unless otherwise arranged. Nightly backups will ensure that the maximum amount of data that may be lost is one day s worth. Data retention Backups will be archived monthly, and monthly tapes will be retained for a period of five years, unless otherwise arranged.

Just as the SQL INSERT statement adds new data to the database, the SQL DELETE statement removes data from the database. If Acme Industries decides a few days later to switch to a competitor, you can delete them from the database with this statement: DELETE FROM CUSTOMERS WHERE COMPANY = 'Acme Industries' 1 row deleted. And if you decide to terminate all salespeople whose sales are less than their quotas, you can remove them from the database with this DELETE statement: DELETE FROM SALESREPS WHERE SALES < QT<R 2 rows deleted.

A Fact Table for Each Process 61 Fact Tables and Business Processes 61 Facts that Have Different Timing 62 A Single Fact Table Causes Difficulties 63 Modeling in Separate Fact Tables 66 Facts that Have Different Grain 67 A Single Fact Table Causes Difficulties 67 Modeling in Separate Fact Tables 70 Analyzing Facts from More than One Fact Table 71 The Peril of Joining Fact Tables 72 Drilling Across 73 Drill-Across Implementations 77 Summary 82 Further Reading 83 Conformed Dimensions 85 The Synergy of Multiple Stars 85 Dimensions and Drilling Across 87 What Causes Failure 88 Identical Tables Not Required 92 Conformed Dimensions 93 Types of Dimensional Conformance 93 Planning Conformance 100 Architecture and Conformance 102 Dimensional Data Warehouse 102 Corporate Information Factory 104 Stand-Alone Data Marts 106 Summary 108 Further Reading 109.

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important feature of the star schema: how it is actually used. Understanding the basic usage pattern of the star schema allows the dimensional designer to make intelligent choices.

If you feel that your needs are not met by these services, please contact Bob, IT Manager, at extension 6555.

The SQL language is also used to modify data that is already stored in the database. For example, to increase the credit limit for First Corp. to $75,000, you would use the SQL UPDATE statement: UPDATE CUSTOMERS SET CREDIT_LIMIT = 75000.00 WHERE COMPANY = 'First Corp.' 1 row updated. The UPDATE statement can also make many changes in the database at once. For example, this UPDATE statement raises the quota for all salespeople by $15,000: UPDATE SALESREPS SET QUOTA = QUOTA + 15000.00 8 rows updated.

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