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To further practice and reinforce the skills you learned in this chapter, you can per form the following tasks:
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Review the chapter summary. Review the list of key terms introduced in this chapter. Complete the case scenario. This scenario sets up a real-world situation involv ing the topics of this chapter and asks you to create solutions. Complete the suggested practices. Take a practice test.
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Summary
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To design a data recovery solution, begin by taking inventory of your needs. Full database backups back up all the data in the database. Differential database backups back up all the data that has been updated since the last full backup. Transaction log backups back up the transaction log, which is the running record of changes made to a database. To recover a database to the point of fail ure, back up the tail of the log before restoring the database. Databases in SQL Server 2005 can be set to any of three recovery models: Sim ple, Full, and Bulk-Logged. The Simple recovery model is incompatible with transaction log backups and supports restoring data only to the point of the last full or differential backup. The Full recovery model supports recovery to the point of failure and recovery to a point in time. The Bulk-Logged recovery model, which is used to speed certain bulk operations, supports recovery to the point of failure (as long as the failure does not occur during a minimally logged transac tion), but does not support recovery to a point in time. Mirroring a media set by using the MIRROR TO option with the BACKUP DATA BASE statement creates a redundant copy of the backup and increases backup reliability.
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13 Review
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Key Terms
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Do you know what these key terms mean You can check your answers by looking up the terms in the glossary at the end of the book.
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database recovery database restoration logical backup device media family media set mirrored media set physical backup device recovery model restore sequence tail-log backup tail of the log warm standby server
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Case Scenario: Designing a Data Recovery Strategy
In the following case scenario, you will apply what you ve learned about designing a data recovery strategy. You can find answers to these questions in the Answers sec tion at the end of this book.
Background
Company Overview
Coho Vineyard was founded in 1960 as a local, family-run winery in the Finger Lakes region of New York state. Beginning in 1980, the winery began to experience significant growth, so its owners began acquiring other wineries in the region. Today, Coho Vine yard, the company, owns 12 wineries in the Finger Lakes area and employs 250 people, 25 of whom work in the central office that houses servers critical to the business.
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Planned Changes
Until now, each of the 12 wineries owned by Coho Vineyard has run a separate Web site locally on the premises. Coho Vineyard wants to consolidate the Web presence of these wineries so that Web visitors can purchase products of all 12 wineries from a single Web store. All data associated with this Web site will be stored in databases in the central office. After the Web store project is completed, the databases stored in the local wineries will be migrated onto the database server at the central office. The database server will store financial information uploaded from the 12 wineries as well as all business-wide data related to customers, products, marketing, and employees.
Problem Statements
Because of the decentralized nature of the company, all business information, ranging from financial data to marketing-related data, has been difficult to consolidate. In addition, despite the number of people employed by the company, no central e-mail system yet exists for employees.
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