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You may notice that this fact table does not contain any facts That is okay; it is still useful For example, it can be used to count the number of policies in effect on a particular date with married versus single policy holders Fact tables like this are known as factless fact tables, and 12 discusses them in detail The dates associated with each row merit some additional scrutiny As noted, the fact table includes a day_key_effective, indicating when the change went into effect, as well as a day_key_expired, indicating when the change was superseded by a new version It is useful to avoid overlapping dates, in order to avoid any confusion when building queries For each row in the fact table, the effective and expiration dates are inclusive If a policy changes today, today s date is the effective date for the new version of the policy.

To ensure that all of the necessary replication actions are performed, SQL Server includes the following four Agents, each of which is responsible for a specific action within the replication system: w Snapshot Agent Responsible for generating the information specified within the articles of a publication on a Publisher and storing it within the distribution database on the Distributor. This is the information that is potentially sent to Subscribers. Each Publication has its own Snapshot Agent, so snapshots can be generated on separate schedules for different types of information. Log Reader Agent Responsible for reading information from the transaction log of the necessary databases specified in a publication, if transactional replication is enabled. The Log Reader Agent is actually run on the Distributor, and each of the publications has its own Log Reader Agent. Distribution Agent Responsible for applying information stored in the distribution database to Subscribers. Depending on the type of replication chosen, the Distribution Agent may run on the Distributor or the Subscriber.

Using SQL, the creator of a database can give different users of the database different views of its structure and contents. For example, the database can be constructed so that each user sees data for only their department or sales region. In addition, data from several different parts of the database can be combined and presented to the user as a simple row/column table. SQL views can thus be used to enhance the security of a database and tailor it to the particular needs of individual users.

Yesterday s date is the expiration date for the previous version The pair of dates can be used to determine the policy s status at any point in time Add one filter looking for an effective date that is before or equal to the date in question, and another for an expiration date that is greater than or equal to the date in question The current version of a policy has not expired, and it has no expiration date Instead of recording a NULL key, it refers to a special row in the day dimension This row typically contains the largest date value supported by the relational database management system (RDBMS), such as 12/31/9999 Described in 6, this technique avoids the need to test for null values when building queries When the row does expire, the date will be replaced with the actual expiration date.

Figure 8-4.

It is also necessary to look a bit more closely at the grain of the fact table, described earlier as one row for each policy change It is important to document what exactly a policy change is If Hal Smith s family size and number of children change on the same day, is that one change or two In the case of policy changes, it is likely to represent a set of changes that are logged in a source system as part of a single transaction In other cases, it may be necessary to log each change individually This may require the ability to store multiple changes for a single day To support this, you can add a time dimension and a pair of time_keys to supplement the day_keys The time_keys refer to the time of day the record became effective (time_key_effective) and the time of day it expired (time_key_expired.

SQL was first developed as an ad hoc query language, but its powers now go far beyond data retrieval. SQL provides a complete, consistent language for creating a database, managing its security, updating its contents, retrieving data, and sharing data among many concurrent users. SQL concepts that are learned in one part of the language can be applied to other SQL commands, making users more productive.

8:

) The policy_change_facts star effectively captures the history of changes to the policy dimension, so that people can identify what policies looked like at any particular point in time This information can now be accessed, even for days when there are no payments You may have noticed something peculiar about this fact table Since it contains a row for each change to a policy, it has the same number of rows as the policy dimension itself This is not necessarily a bad thing, but it suggests that there may be a more effective way to gather the same information..