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Each of these questions centers on a business process: sales, account management, attendance, payables, return processing. These process-centric questions do not focus on individual activities or transactions. To answer them, it is necessary to look at a group of transactions. Most importantly, each of these questions reveals something about how its respective business process is measured. The study of sales involves the measurement of gross margin. Financial institutions measure account balance. In human resources, they measure number of absences. The finance department measures payables. Purchasing managers watch the return quantities. Without some kind of context, a measurement is meaningless. If you are told sales were $10,000, there is not much you can do with this information. Is that sales of a single product, or many products Does it represent a single transaction, or the company s total sales from conception to date Without some context, the measurement is useless. As with the measurements themselves, context is revealed in business questions or reports. In the preceding questions, for example, gross margin is viewed in the context of product categories and time (the month of January). Sick days are viewed in the context of a department (marketing) and time (last year). Payables are viewed in the context of their status (outstanding) and vendor. These two simple concepts, measurement and context, are the foundation of dimensional design. Every dimensional solution describes a process by capturing what is measured and the context in which the measurements are evaluated.

The following scenarios are more appropriate to implementation using asynchronous messaging:

Of course, none of this will help in situations described earlier, in which transactions are not kept online or in which the status measurement does not correspond to any type of transaction. Clearly, an alternative solution is required to support the study of status measurements.

You need to implement a messaging system in which a response is not required or not immediately required. Which messaging system is most appropriate You need a high-volume transaction processing capability for sending messages. Which type of messaging is best suited for this use You want a messaging system that uses your system hardware in an efficient manner. Which type of messaging should be used Asynchronous messaging

TermId ----------3 4 5 6 7 ... DueDate --------------------------2000-04-01 00:00:00 2000-05-01 00:00:00 2000-06-01 00:00:00 2000-07-01 00:00:00 2000-08-01 00:00:00 Lease -----------87.7500 87.7500 87.7500 87.7500 87.7500

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As you have seen, a transaction fact table will not suffice for storing a measurement of status. The solution is to design a periodic snapshot fact table, or simply snapshot fact table. The snapshot fact table samples the measurement in question at a predetermined interval. This makes it easy to study the measurement in question, without the need to aggregate a long chain of transaction history. A snapshot fact table design has several properties that distinguish it from a transaction fact table design. Whereas a transaction fact table s grain may be expressed in various ways, the grain of a snapshot fact table is usually declared in dimensional terms. While a transaction fact table is sparse, snapshots are dense. Last, while the facts in a transaction fact table are fully additive, a snapshot model will contain at least one fact that exhibits a property known as semi-additivity.

Identify Scenarios That Are More Appropriate to Implementation Using Synchronous Messaging, Rather Than Asynchronous

The following scenario is more appropriate to implementation using synchronous messaging:

A snapshot fact table samples a status measurement at a predetermined interval. This interval, combined with one or more dimensions, will be used to define the grain of the snapshot fact table. Each row will contain a fact that records the status measurement in question. The account snapshot fact table in Figure 11-2 records a balance each day for each account. This declaration of grain involves fewer dimensions than were used for the transaction fact table in Figure 11-1. The day dimension captures the interval at which measurements will be sampled, and the account dimension specifies what will be measured. Account branch and primary account holder are also present, but are not part of the grain. The sole fact, balance, records the status measurement: account balance. With this design, it is now very easy to determine balances at any point in time, for individual accounts and across multiple accounts. Simply constrain the query for the day in question and aggregate the balance fact. This technique can be used to determine the combined balance for a customer across multiple accounts, study account balance by demographic characteristic, look at the balance across all accounts at each branch, and so forth.

You are using a credit card authorization/user login authentication system to send a message in which the response to the message is required before the transaction can be completed. Which type of messaging is most appropriate Synchronous messaging

Figure 11-2

Message-oriented middleware products allow a developer to couple applications loosely together. However, these products are proprietary and quite often complex and expensive. The JMS provides a standard Java interface to these messaging middleware products, freeing developers from having to write low-level infrastructure code, or plumbing, and allowing solutions to be built quickly and easily. In short, the JMS API provides a convenient and easy way to create, send, receive, and read an enterprise messaging system s messages using Java.

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