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Finally, we moved on to evaluating the types of hardware and software available for helping you protect your information With any luck, you are by now fairly clear on what sorts of hardware and software you need; if you re still deciding, you should at least have a good idea of what s available in the marketplace That brings us to the current chapter If you re really technically knowledgeable, you probably jumped to this chapter first Before going on, however, I should stress how important it is to first review the information on planning and evaluation covered in the earlier chapters of this book Without adequate foresight, the best technical implementations might be worthless (or worse, even counterproductive) With that out of the way, it s time to actually perform database backups I think I ve already emphasized sufficiently the importance of adequate planning.

At the core of a star schema is the fact table. In addition to presenting the facts, the fact table includes surrogate keys that refer to each of the associated dimension tables. The simple orders star in Figure 1-5, for example, includes the facts quantity_ordered, cost_dollars, and order_dollars. It also includes surrogate keys that refer to products, salespeople, customers, and order dates. Together, the foreign keys in a fact table are sometimes considered to identify a unique row in the fact table. This is certainly true in Figure 1-5, where each fact table row represents orders of a product sold by a salesperson to a customer on a given day. In other cases, however, the foreign keys in a fact table are not sufficient to identify a unique row. As we will see in 3, sometimes a fact table row can be uniquely identified by a subset of its foreign keys, or even by using some nonkey attributes. Each row in the fact table stores facts at a specific level of detail. This level of detail is known as the fact table s grain, a term that will be explored in 3. The information held in fact tables may be consumed at a variety of different levels, however, by aggregating the facts. In some data warehouse architectures, it is critical that the star schema capture information at the lowest level of detail possible. In other architectures, this is less important because a separate part of the data warehouse architecture is reserved for atomic data. These variations in data warehouse architecture are explored in 2, Data Warehouse Architectures.

1234567890 DOC DOC 90198765432109 ISBN 0-07-211845-8

Now, it s time to look at a task that s just as crucial to effective data protection: implementing the actual backups Even the best-designed plans are useless if they are not executed properly In this chapter, we ll focus on the steps required to perform database backups on SQL Server 7 I ll start with information on how you can best design storage for your SQL Server databases using new features and capabilities in the product Then, we ll cover different backup operation types, from a technical standpoint, after which we ll be ready to cover the actual steps and commands you can use to perform backups on your SQL Server If you ve worked with other relational database server products in the past, you might think that this is a very complicated process.

There is still much to be said about the fundamentals of dimensional design, a discussion that continues in 3, but enough background has now been provided to look at an

Fortunately, I think you ll find it quite easy to implement a suitable data protection plan (regardless of your technical background with the product) Finally, we ll end with three sections that cover some very useful features of SQL Server 7: the automation of backups and other jobs, the ability to easily import and export data, and methods for optimizing backup performance That s a tall order, so let s get started!.

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Sliced fact tables are not always derived from the whole. It is possible to construct the whole as a union-all from the slices, but extreme care must be taken in handling the dimensions. This may occur in situations where regional fact tables are constructed in parallel, then