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If that natural key of the mortgage application were to be used as a foreign key in the fact table, and that application has undergone a type 2 change, the single fact table row would have two corresponding rows in the dimension table This would cause the application to be counted twice in many queries, unless specific predicates were added to the query to eliminate duplicates TIP When something represented by the defining dimension of an accumulating snapshot undergoes a type 2 change, there will be two rows for it in the dimension table The surrogate key of the most recent row should be used in the fact table Do not use the natural key since this will result in double-counting..

Before we get to the details of internationalizing an application, let s review our objectives. After the architectural design and development is completed, an internationalized enterprise application will have the following characteristics:

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One side effect of this requirement generates a notable contrast with other types of fact tables: the dimension table is likely to have more rows than the fact table itself. This should not be viewed as an error; it is in keeping with the analytic requirements. It can pose a tuning challenge for database administrators, who may find that star-join optimization is not the most efficient way to resolve a query involving an accumulating snapshot. Finally, note that an accumulating snapshot does not associate a historically accurate version of the thing being processed with each milestone achieved. It refers to the entity once, and that reference is the most up-to-date version. If the historic context of each processing step is required, this information can be obtained by consulting a transactionbased star, such as the one depicted in Figure 11-5. Together, the two designs can be used to answer a wide variety of business questions. If a transaction design is not required for other purposes, the accumulating snapshot can be supplemented to carry multiple references to the dimension one for each milestone.

Vertical scalability comes from adding capacity (memory and CPUs) to existing servers. Horizontal scalability comes from adding servers. In terms of scalability,

Summary

a system can scale to accommodate more users and higher transaction volumes in several different ways:

n Improve the efficiency of communications. In a distributed environment,

This chapter introduced two new forms of fact table design: the periodic snapshot and accumulating snapshot Each was motivated by a particular analytic challenge that is not well served by a transaction fact table design, and each has unique characteristics A transaction fact table tracks events Its grain usually corresponds to an individual transaction or a summary of transactions Facts that describe a level, balance, or similar status can sometimes be computed from the transactions that contribute to their value, but not always When they can be computed, the process is not usually very efficient A snapshot fact table samples a balance, level, or status measurement at a predefined interval across specified dimensions Unlike a transaction fact table, a snapshot tends to be very dense Balance or level measurements in a periodic snapshot are usually semi-additive; it does not make sense to sum them across snapshot periods.

You cannot use e-mail addresses in the @recipients parameter. The stored procedure expects the name of a contact that is defined in the address book of an e-mail client application.

the communications overhead is often a performance bottleneck. Session management will improve communication among clients and servers through session pooling.

In some cases, they may be nonadditive A snapshot can be embellished with period-begin and -end balances, as well as fully additive facts that summarize the period They may also include a sum that can be used to compute the average balance or level A business process that represents a series of steps or statuses may be tracked using a transaction fact table This model is useful for studying and quantifying the various activities but is notoriously difficult to use when studying the elapsed time spent at one or more stages If the items being processed can be readily identified, an accumulating snapshot can be designed It will have one row for each instance of the item undergoing the business process This row is repeatedly updated as the process unfolds The accumulating snapshot includes multiple day_keys, each representing the achievement of an important milestone.

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