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The practice tests on this book s companion CD offer many options. For example, you can test yourself on just one exam objective, or you can test yourself on all the 70-236 certification exam content. You can set up the test so that it closely simulates the experience of taking a certification exam, or you can set it up in study mode so that you can look at the correct answers and explanations after you answer each question.

The WHERE clause can include a variety of search conditions that can include Boolean operators and predicates such as LIKE , BETWEEN, EXISTS, IS NULL, IS NOT NULL, and CONTAINS. As mentioned earlier, the IS (IS NOT) NULL clause returns rows based on the existence of NULL values in the named column. The CONTAINS clause is available only when you create a full text index on the column being compared. For more information about full text searches, see 8, Extending Microsoft SQL Server Functionality with the Spatial, Full-Text Search, and Service Broker. Boolean operators, which include AND, OR, and NOT, can be used to define more than one criterion in a WHERE clause. The following sample code returns only products that have a color attribute of Silver and also have a list price greater than $200:

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The following sample assumes that the Product table includes newly added products that do not yet have a list price assigned to them. The following sample code includes Silver products with a price over $200, as well as the new Silver products with a list price of $0 (the default list price for new products added). If the parentheses were not added, the query would return Silver products with a price over $200 and all colors of products with a list price of $0 because of the order in which the conditions are evaluated, which is based on the Boolean order of operations:

he dilemma that many people face with SQL Server Analysis Services (SSAS) and online analytical processing (OLAP) technologies is how to maximize query performance with large data volumes while using the smallest amount of storage space possible An optimal storage strategy produces fast queries while maintaining reasonable cube-processing times SSAS goes a long way toward meeting demanding performance and scalability requirements And you can improve this performance and scalability even more by choosing an optimum storage mode and creating useful cube aggregations In the preceding SSAS chapters, you have been designing the Adventure Works data warehouse without knowing how SSAS stores multidimensional data If your cubes are relatively small, they will probably perform well by using the default storage options However, chances are that in real life, your cubes will be many times larger, and you might need to optimize their storage design and performance.

SELECT * FROM Production.Product WHERE Color = 'Silver' AND (ListPrice > 200 OR ListPrice = 0)

In addition, you might need to implement low-latency OLAP solutions to minimize the time it takes new data to become available for querying This chapter provides comprehensive coverage of SSAS storage options and optimization techniques It also explores ways to partition measure groups to improve processing and query performance and describes ways to design and optimize cube aggregations In a typical SSAS enterprise environment, three groups of people are involved in the different phases of the SSAS cube s life cycle Database developers focus on designing and programming the cube Administrators are concerned with managing the cube And end users query the cube and run reports As an SSAS administrator, you will perform various management tasks in different phases of the cube life cycle Two ongoing activities that you need to master are deploying and processing SSAS objects.

For details about all the practice test options available, see the How to Use the Practice Tests section in this book s Introduction.

When the database engine parses and compiles a query, conditions that include Boolean operators are evaluated in the following order: NOT, AND, OR. This order of operations is important to understand because misunderstanding this can cause the query to return an unintended result set. You can use parentheses to control the order of operations.

As this chapter demonstrates, SSAS provides a comprehensive management framework to help you perform these and other management activities The source code for this chapter is available in the .\Source\Ch 07\ folder on the companion CD..

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