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The basic principles of aggregates are simple and intuitive As a result, most discussions of dimensional design devote very little time, if any, to the discussion of aggregates Although relatively simple in concept, incorporating aggregates into your architecture has many implications Several nuances have only been touched on here For a complete treatment of aggregation, see Mastering Data Warehouse Aggregates (Wiley, 2006) by Chris Adamson Kimball and Ross provide a brief description of the principles of aggregation in the context of a clickstream data warehouse in 14 of The Data Warehouse Toolkit, Second Edition (Wiley, 2002) Aggregation strategy is briefly discussed in 16 of The Data Warehouse Toolkit Some architectures use aggregated data as the basis for a data mart application In a dimensional data warehouse, aggregates are more akin to an index, summarizing granular data solely for performance reasons.

The authors make this important distinction in 4 of The Data Warehouse Lifecycle Toolkit, Second Edition (Wiley, 2008), by Ralph Kimball, Margy Ross, Warren Thornthwaite, Joy Mundy, and Bob Becker The effect of a type 1 change on an aggregate can be very frustrating, but it is not a shortcoming of the dimensional approach As Kimball et al describe in 8 of The Data Warehouse Lifecycle Toolkit, this problem is encountered when using stars, snowflakes, cubes, and even normalized designs Storing summary and detail data in the same star by leveraging a level column is discussed in further detail in 13 of the first edition of The Data Warehouse Toolkit by Ralph Kimball (Wiley, 1996) Although out of print, this edition may be available in libraries or used bookstores The topic is also discussed in 3 of Mastering Data Warehouse Aggregates.

To properly manage your network, it is necessary to give all users (including Administrators) sufficient permissions to carry out their tasks. It is also important to restrict access to tools that they do not use or should not have access to. Here, we ll look at some of the features for restricting access included with Windows NT. User rights can be used to restrict the functions that can be performed by users with above-normal user permissions. For example, in Windows NT User Manager, an Administrator can restrict the workstations that a user may log on to:

row, because Tom has not yet been assigned to an office But the NULL value poses an interesting question about the referential integrity constraint created by the primary key/foreign key relationship Does the NULL value match one of the primary key values or doesn't it The answer is "maybe" it depends on the "real" value of the missing or unknown data Both DB2 and the ANSI/ISO SQL1 standard automatically assume that a foreign key that contains a NULL value satisfies the referential integrity constraint In other words, they give the row "the benefit of the doubt" and allow it to be part of the child table, even though its foreign key value doesn't match any row in the parent table Interestingly, the referential integrity constraint is assumed to be satisfied if any part of the foreign key has a NULL value.

The additional tables in a snowflake design can provide some reduction in complexity when it comes to aggregates If the dimension already contains outriggers, then it may not be necessary to construct conformed rollups An example of an aggregate in a snowflake design is discussed in 8 of Mastering Data Warehouse Aggregates..

This feature may be useful if you have a set group of users who share machines, but you do not want these people to log on to other computers. To prevent the loss of data, all network operating systems feature a user account or a group from which all rights are inherited. In Windows NT, this is the Administrators group. Managing permissions for Administrator accounts is particularly important. Many organizations set up a single user account as the Administrator and give several people the Administrator password. However, this poses several major security problems.