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n 1, Evaluating Corporate Data Requirements, we examined the business issues that you need to consider before you dive into implementing a data protection policy. These included the problems, challenges, and requirements associated with the business requirements for data protection. Now it s time to see how we can address those problems in a data protection plan. This chapter provides a brief overview of the types of solutions we re going to discuss later in the book. The details aren t important for now; just pay attention to the best practices for implementing backup and recovery policies and procedures in your environment. The goal is to get familiar with the major tools and concepts that are related to backup and recovery. By the end of this chapter, you should have a good idea of exactly how you plan to protect your essential information. Developing a suitable data protection plan involves the following steps. (This procedure is diagrammed in Figure 2-1.)

The top-level company (1) has numerous rows, since it is related to each company in the tree The mental exercise you just completed is an example of looking down the hierarchy You chose a particular company in which you had an interest, and looked for its key value in superior_company_key In the rows that you found, the subordinate_company_key represented companies at or below the company you chose..

COMPANY_HIERARCHY_BRIDGE 1 superior_ subordinate_ company_ company_ key key 1 2 5 1 1 1 1 1 1 7 8 1 2 2 2 3 4 5 5 5 5 6 6 6 7 8 1 2 3 4 5 6 7 8 2 3 4 3 4 5 6 7 8 6 7 8 7 8 levels_ removed 0

1. Determine the business requirements. 2. Develop a data protection plan. 3. Evaluate technology solutions. 4. Implement and test the solutions. 5. Refine the plan as necessary. We ll cover all of these topics in this book. Note that it s important to plan for backup and recovery operations together. Business requirements will place constraints on both operations. Furthermore, recovery requirements will affect backup requirements, and vice versa. We ll begin by looking at the various backup methodologies available. Then, we ll move on to an overview of the types of hardware and software solutions available. Next, we ll examine various policies and best practices that apply to data protection. Notice that many of these policies and practices are not technical. The old saying that an ounce of prevention can prevent a pound of cure applies here: It s unlikely that all of this information will apply to your environment, so it s your job to determine what makes sense. Finally, the last section of this chapter will bring all of these best practices together into a single example of a data protection plan. Let s get started!

The search conditions you can specify in the HAVING clause are the same ones used in the WHERE clause, as described in s 6 and 9. Here is another example of the use of a group search condition: For each office with two or more people, compute the total quota and total sales for all salespeople who work in the office. SELECT CITY, SUM(QUOTA), SUM(SALESREPS.SALES) FROM OFFICES, SALESREPS WHERE OFFICE = REP_OFFICE GROUP BY CITY HAVING COUNT(*) >= 2 CITY -----------Chicago Los Angeles New York SUM(QUOTA) ----------$775,000.00 $700,000.00 $575,000.00 SUM(SALESREPS.SALES) -------------------$735,042.00 $835,915.00 $692,637.00

1 2 3 3 0 1 1 0 0 0 1 2 2 0 1 1 0 0

Before you dive into choosing the required hardware, software, and network devices required for protecting your information, you must decide how you plan to protect your information. There are various backup methodologies you can use when making these decisions. Let s start by looking at the various techniques you might use to protect your information, along with the pros and cons of each technique. In many cases, we d like business requirements to lead to technical solutions. For example, if I will need to be able to back up 40GB by the end of next year for a specific server, I will choose the hardware that allows this. However, in some cases, the opposite will be

The following steps show the rules for SQL query processing, expanded once again to include group search conditions. To generate the query results for a SELECT statement: 1. If the statement is a UNION of SELECT statements, apply Steps 2 through 7 to each

Figure 10-6

2:

You can use the levels_removed column to refine this kind of search. If you want to find companies below but not including a particular company, look for rows where the superior_ company_key is the company in question, and levels_removed is greater than 0. The resulting list of subordinate_company_key values will be the companies you want. Similarly,

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Figure 2-1.

1 2 2