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This term Attribute Data warehouse Dimension Fact table Foreign key column Join Measure Member Member property Primary key column Snowflake design Star design Means this Information about a specific dimension member A relational database designed to store management information A list of labels that can be used to cross-tabulate values from other dimensions The relational database table that contains values for one or more measures at the lowest level of detail for one or more dimensions A column in a database table that contains many values for each value in the primary key column of another database table The processes of linking the primary key of one table to the foreign key of another table A summarizable numerical value used to monitor business activity A single item within a dimension An attribute of a member that is not meaningful when grouping values for a report, but contains valuable information about a different attribute A column in a database dimension table that contains values that uniquely identify each row A database arrangement in which attributes of a dimension are stored in a separate (normalized) table A database arrangement in which multiple attributes of a dimension are redundantly stored in a single (denormalized) dimension table

If he has tried and failed, he will move on about seventy-five to eighty-five percent of the time Level four is usually left to the Tourists, who are notorious for going to extreme efforts to attain their goals While some Tourists give up after failing at levels one, two, and three, others feel that they must get into your system or "lose the game," so they move on to the more advanced techniques of level four They may resort to researching your system users, or to visiting your computer room to look over shoulders or to read scribbled notes left near terminals Or, they may set up a computer to try every possible password - if that is what's required A hacker working at level four succeeds in getting into a system about ninety percent of the time.

10

2

After completing this chapter, you will be able to:

floating point division, and the way you do that is to turn one of the components of the calculation into a floating point value. You can do this by casting again.

It is very possible, however, that the system operators will be aware of him and throw him off the system once he gets in, and for two reasons: First, the system is fairly secure and the system operators may well be alert enough to find him and, second, the hacker himself probably created quite a bit of detectable evidence while he was operating at or building up to level four Level five consists of measures taken only by a Thief, unless you have a very determined Tourist or Crasher on your hands A hacker operating at this level may plant bugs, bribe or blackmail employees, or pose as a computer technician More likely, though, he will be an employee.

Understand the definition of OLAP and the benefits an OLAP tool can add to a data warehouse. Understand how Microsoft SQL Server Analysis Services 2005 implements OLAP. Understand tools for developing and managing an Analysis Services database.

float fraction = (float) percentage / 100;

Business intelligence (BI) is a way of thinking. A data warehouse is a general structure for storing the data needed for good BI. But data in a warehouse is of little use until it is converted into the information that decision makers need. The large relational databases typical of data warehouses need additional help to convert the data into information. In this chapter, you will first learn the general benefits of online analytical processing (OLAP) one of the best technologies for converting data into information and then you will learn about how Microsoft Analysis Services implements the benefits of OLAP.

This forces the compiler to regard the percentage variable as floating point so that it uses a floating point divide to get the correct result. This means that your getPercentage method now looks like this: