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Queries like these can be further embellished, for example by grouping results by a particular processor, customer characteristic, or application characteristic. In all cases, a correlated subquery is not required. TIP An accumulating snapshot design can measure time spent at various processing stages. One row is recorded for each instance of the entity on which the process operates. This row will have multiple day keys that refer to the date of entry into each status, and facts that will accumulate the number of days spent in each status. These facts can be aggregated or averaged across various dimensions to study the efficiency of the various processing stages. Averages are not the only option. Queries may look for minimum or maximum values, using the SQL MIN() and MaX() functions. Some reports may list the number of applications that spend more than a certain amount of time at a stage, making use of the COUNT() function in conjunction with a WHERE clause, as in COUNT(*) WHERE days_processing > 5. The accumulating snapshot is an effective vessel for recording facts that describe elapsed time at various processing stages and enabling powerful reporting capabilities. Of course, the story does not end here. A variety of additional considerations should be reviewed when building an accumulating snapshot.

You need to perform a transaction that is distributed across multiple applications and systems; which technology is most appropriate for maintaining this type of distributed transaction You need to broadcast stock prices to applications executing on a trader s desktop You need to send an order request to another system What technology is appropriate for easier integration of incompatible systems The EJB container provides support for database updates, message processing, and connections to EIS systems using the Java EE Connector Architecture (JCA). This will allow all to participate in the same transaction context. Messaging by itself is not a complete solution for this scenario. A publish/subscribe messaging solution will be sufficient. Possibly use a combination of EJB for retrieving order data and messaging for sending the data to the other system. Use a messaging solution to provide the interface between systems that are not able to communicate directly.

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JMS provides a highly flexible and scalable solution for building loosely coupled applications in the enterprise environment. It brings all of the advantages of a messaging-based application into the Java language. JMS links messaging systems with all the benefits of Java technology for rapid application deployment and application maintenance. This chapter should give you an understanding of the JMS and messaging in general and the appropriate scenarios for using messaging-in applications.

As with the periodic snapshot, the accumulating snapshot is not a replacement for the transaction model. In many cases, the two will complement each other nicely. Sometimes, the major milestones of interest when measuring elapsed time do not correspond directly to individual statuses, but instead summarize them. In other cases, the operational process may not be a standard linear progression. In still other cases, separate operational systems may track different elements of status. These complications can all be overcome but will increase the ETL complexity. Finally, it is important to consider the impact of slowly changing dimensions on the accumulating snapshot design.

q Asynchronous messaging benefits are that as the volume of traffic increases,

The accumulating snapshot is a useful tool for studying the elapsed time spent at one or more processing steps. Keep in mind, though, that this is not the only way to study a process. Other forms of analysis are better suited to a transaction model like the one in Figure 11-5. Common examples include the reporting of numbers of items processed at various stages, studying workloads, and the analysis of process patterns. When the design for a business process includes both a transaction star and an accumulating snapshot, the accumulating snapshot should use the transaction star as its source. This step ensures consistency across the two stars, both in terms of the activities they represent and in terms of the representation of dimensional detail. As an alternative to sourcing both stars to an operational system (or enterprise data warehouse in a Corporate Information Factory architecture), this approach also simplifies the ETL processing and eliminates some redundancy. TIP Transaction and accumulating snapshot models complement each other nicely. The accumulating snapshot allows the study of elapsed time at processing stages, while the transaction model allows analysis of the steps themselves. If both are built, design the accumulating snapshot to use the transaction star as its source.

The first Insert statement adds the first record to table b. The second Insert statement adds the first record in a table. Because there is a trigger on the table, another record (the second one) will be inserted into table b, and the value of @@identity will be set to 2. If there was no trigger, the Select statement would return a value of 1.

more bandwidth or additional hardware is not required; it is less affected by failures at the hardware, software, and network levels; and when capacities are exceeded, information is not lost but is instead only delayed.

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