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In the above analysis t represents true time, which for the purposes of this chapter is de ned to be the GPS system time as maintained by the United States Naval Observatory (USNO) Eqn (841) shows that the clock time can be modeled as true time plus a time varying error term that is determined by the initialization error (to ) plus a time-varying (clock drift) error which is the integral of the frequency error f (q) Obviously, oscillators for which the frequency error is small and stable result in better clocks A pendulum clock nicely exempli es the principle described above The pendulum swings at a resonant frequency A set of gears count the swings of the pendulum and display the cumulative phase of the oscillator using hands on the face of the clock The user may be able to tune the resonant frequency by adjusting the length of the pendulum to decrease f Modern, high accuracy clocks such as those used in GPS satellites and receivers use the same principle, but use very stable crystal oscillators with electronic counters to accumulate the oscillator phase Eqn (841) applies to both the satellite and receiver clocks: s (t) = r (t) = t + s (t) t + r (t) (842) (843)

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where s (t) is the error in the clock of satellite s and r (t) is the error in the clock of receiver r Substituting eqn (842 843) into eqn (837) yields s r (t) r = = c t + r (t) t ts + s (t ts ) r r c ts + r (t) s (t ts ) r r (844)

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Backup and high availability strategies are important in large-scale data warehousing where the warehouses are used for tactical business decisions, as they are in other enterprise databases A sound backup strategy for data in the data warehouse is critical to making such a warehouse recoverable in a reasonable amount of time Reloads from source systems and re-creating complex data transformations that occurred over time are an impractical approach to recovery However, even where backups are efficiently taken, the reload process might be too lengthy to meet business service-level requirements In such scenarios, providing high availability by deploying and maintaining both primary and secondary data warehouses can be justified While we cover high availability strategies in 2, some considerations are especially relevant where a large-scale data warehouse is deployed Part of a sound backup strategy for a data warehouse includes careful consideration of how data changes over time Where the data

which shows that the measured pseudorange s r (t) is proportional to r the time of propagation ts plus the receiver clock error r (t) minus the r satellite clock error s (t ts ) at the time of transmission The time of r propagation will be further analyzed in subsequent sections

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labeled if either C-1 or C-6 of the original glucose was labeled This all makes sense if you remember that pyruvate only has 3 carbons but glucose has 6 Each carbon atom of pyruvate must come from 2 different carbons of the original glucose molecule The carboxylate group of pyruvate, being the most oxidized, is called C-1, and the CH3 group is called C-3 The carboxylate group of pyruvate comes from the aldehyde of G3P, so C-4 and C-3 of glucose end up at C-1 of pyruvate There is an easy way to remember which carbons of glucose end up on the same carbon of pyruvate the numbers of the equivalent carbons sum to 7 The labeling trick also works backward You could have to decide which carbons of glucose become labeled when you use pyruvate labeled on a given carbon Labeling pyruvate on C-1 will result in a glucose molecule that is labeled on both C-3 and C-4, again because of the TIM reaction

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