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It is customary in many organizations to winnow the pile of applications down to three finalists and invite only this select group for interviews. In general, this practice does not work well when interviewing applicants for technical positions. Nonprofits, accustomed to hiring professional staff, limit the number because such marathon interviews constitute a substantial outlay of time and money. In the case of entry-level technical positions, it s a good idea to limit reliance placed on written materials and schedule a lot of brief interviews. Since it is more difficult to evaluate the credentials of candidates who lack formal educational preparation or lengthy work records, the only way to determine their suitability for the job may be to meet them in person. Another way search committees often narrow the field is to conduct telephone interviews with semifinalists. From the group interviewed by phone, finalists are

As mentioned earlier in this chapter, the snapshot placed in the data warehouse normally contains several components. One component is the unit of time that marks the occurrence of the event. Usually (not necessarily always) the unit of time marks the moment of the taking of the snapshot. The next component of the snapshot is the key that identifies the snapshot. The third normal component of a data warehouse snapshot is the primary (nonkey) data that relates to the key. Finally, an optional component of a snapshot is secondary data that has been incidentally captured as of the moment of the taking of the snapshot and placed in the snapshot. As mentioned, sometimes this secondary data is called an artifact of the relationship. In the simplest case in a data warehouse, each operational activity important to the corporation will trigger a snapshot. In this case, there is a one-to-one correspondence between the business activities that have occurred and the number of snapshots that are placed in the data warehouse. When there is a one-to-one correspondence between the activities in the operational environment and the snapshots in the data warehouse, the data warehouse tracks the history of all the activity relating to a subject area.

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The following list describes sanity checks for each table: Competitors Zip should have a valid ZIP Code format similar to either 12345 or 12345-6789. CompetitorRobots None. Robots If present, Weight > 0 and Weight < 10,000 lbs. If present, Speed > = 0 and Speed < 30 mph. RobotMatches None. Matches When created, Date > = today. Time > 8am and Time < 11pm. RobotWeapons None.

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This leads to a fundamental question: when several transitions become firable in the same marking, therefore firable in parallel, how is the next state defined In fact, this choice is called and defined the semantics of parallelism . b) The traditional choice: interleaving Several possibilities exist for defining the next marking, for example: all transitions are fired at the same time; only one transition is fired at a time; a subset of the enabled transitions is fired; all possible subsets of the set of transitions are fired. It is clear that the first and the last cases are extremes, as: in the first one, only one next marking is obtained; in the last one, 2n 1 markings are obtained, one for each subset of the set (each transition, then 2 amongst n, then 3 amongst n, etc). Most importantly, in the second case, each enabled transition will lead to a marking (with n next markings for n enabled transitions). In fact, this second solution provides the usual choice taken for defining the semantics of parallelism: it is called interleaving semantics . In interleaving semantics, the next markings are obtained by considering all the possible firings of all transitions, one after the other, starting from the same state, and leads to n next markings when n transitions are enabled in parallel. This choice is also fully justified for PNs, as we will see later, because: it leads to a small number of next markings, which simplifies the model of behavior; and in spite of this simplification, it provides all possible behaviors. Nevertheless, such a choice still leads to an exponential number of markings for very parallel behaviors, as will be seen later.

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