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Transaction versus snapshot is not an either/or decision The snapshot and transaction models reflect two aspects of the same process The transaction model allows detailed analysis of the process activities, placing them in a rich dimensional context The snapshot model sacrifices some detail, but allows flexible and powerful analysis of the effect of the transactions Each provides a different but important form of analysis, and many implementations will include both In the case of the banking example, the transaction model from Figure 11-1 allows a close study of banking activities Transactions can be studied by type, branch, teller, primary account holder, and so forth Each of these dimensions includes a wide variety of attributes that can be used to further shed light on the activities that make up the account management process.

TABLE 8-6

The snapshot model in Figure 11-2 provides a different, but equally important, view of this process, allowing analysis of balances across a slightly smaller set of dimensions Since the snapshot samples the day-end balance, dimensions associated with individual transactions are not included These include the transaction type, teller, branch where the transaction took place, and degenerate dimension identifying a specific transaction When a design will include both a transaction fact table and a periodic snapshot, the snapshot can and should be designed to use the transaction fact table as its data source This eliminates what would otherwise be duplicative ETL processing of the source data, both for the transactions as well as for the associated dimensions It also ensures that dimensional data will be identified and loaded consistently TIP Transaction and snapshot models tend to complement each other nicely.

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+, -, *, / <, >, <=, >=, IS NULL, IS NOT NULL, BETWEEN (Qty * Price) >= 12300 Day = 'Tuesday' Month NOT IN ('June', 'July', 'August') Description LIKE 'UNITED%' $name, JMSPriority, JMSXId, JMS_timeout 'string literal', 64, FALSE AND, OR, NOT

first is business-oriented and collects a list of properties associated with an inventory asset. The list is implemented as a temporary table:

If both are to be built, design the snapshot to use the transaction star as its data source Notice that it is not usually possible to do the reverse construct transactions from snapshots If you have any doubts about this assertion, refer back to Figure 11-3 You will see, for example, that there is a group of days during which a particular account has the same balance: February 3 6 It is not possible to tell from the snapshot whether there was.

Examples of PTP implementation include the following:

n Instant messaging n Receiving a transaction from another system n Sending an order to another system n Supply-chain processing

Students of dimensional design often ask if the snapshot model can be considered an aggregate of the transaction model. The answer is both yes and no. Clearly, a snapshot can be created using the transactional data as its source. For some periods, it may be necessary to factor in several transactions. In this sense, the snapshot is an aggregate. The term aggregate, however, is reserved for a particular form of summarization one that contains exactly the same facts as the original star. This concept will be explored in full detail in 15. In the case of a snapshot, the facts are decidedly different from the transaction star. In this sense, the snapshot is not a pure aggregate; it more closely fits the definition of a derived table, as described in 14. From a purely pragmatic perspective, then, you may call a snapshot whatever you like. It certainly aggregates data, and you can think of it as a summary or aggregate if you like. If you do, be sure not to confuse its capabilities with those of the aggregate stars described in 15, which answer exactly the same questions as their source stars.

A message is delivered to a destination, known as a queue. Messages in a queue are processed on a first-in, first-out (FIFO) basis. In other words, the subscriber is guaranteed to get each message in the order in which it was sent. The first available receiver processes each message once. This differs from the pub/sub model, in which a single message can be published to one or more subscribers. In addition to processing the next message in a queue, the receiver is also able to browse through the messages in a queue (for example, to count them), but the receiver is unable to process the messages in any other order than FIFO. The following is a list of the steps and interface classes required for the PTP model of communication: 1. Obtain the QueueConnectionFactory object via a JNDI lookup (the JNDI name will vary depending on the messaging vendor and site naming conventions).

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