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The Exadata Database Machine is a real leap forward in performance and capability, and most customers already have a set of applications that can benefit from this new level of operation Since these applications run on existing data stores, you will usually have to move data from those existing stores to the new platform 10 is focused on migration, but there are a few utilities and features of Oracle Database 11 g that come into play when you are moving data onto the platform

where SFg is a diagonal matrix representing uncompensated gyro scale factor error, bg represents uncompensated gyro bias, kg represents uncompensated gyro g-sensitivity, and g represents random measurement noise

Combining eqns (11130-11131) and linearizing the result yields the following equations for the actual platform frame angular rate measurement and measurement error: ip p p ip = = = p p g g ( SFg ) g ( bg + kg + g ) (11132) ip ip ip p ip ip p SFg g g + ( bg + kg + g ) p ip (11133)

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Two basic utilities are used to move data into an Oracle Database SQL*Loader is used to load data from standard external files into the database SQL*Loader can be used to do more than simply put a complete file into a table, giving you the options to use multiple files as sources, multiple tables as targets, select the data to be loaded, and manipulate data being loaded through the use of SQL functions The other utility is Data Pump Data Pump can export data from an Oracle database into a proprietary file format, which can be used as a source for the Data Pump import process Data Pump can also load data directly from one Oracle database into another Best practices for the Exadata Database Machine call for the use of external tables for loads, rather than the use of these utilities, as described next

where g = g g accounts for error in the alignment process In the p p p following paragraphs, to simplify the notation, we use the symbol T to denote the platform angular rate error vector, Tp = p ip The next step is to de ne parameter vectors xbg , xAg , and xkg such that eqn (11133) can be rewritten as Tp = Tp Tp Tp x bg + xAg + xkg + a bg xAg xkg (11134)

In 20 years in the nancial world my experience has led me to believe certain things about investors and markets As a nancial professional there are days I walk out of the of ce on top of the world I am a genius At about 8:30 am the next morning the market has changed my opinion, and I am now the stupidest person ever to walk the earth These are the markets; it is not easy If it was easy, everyone would be driving a Ferrari There are the cynics among us who believe that the market is completely manipulated; others believe it is completely random

In this equation, xbg contains the states needed to model bg , xAg contains the states needed to model SFg and g , and xkg contains the states needed p to model kg Given eqn (11134), it is straightforward to de ne the factors of eqn (11105) as F g = Tp Tp Tp , , bg xAg xkg and xg = [xbg , xAg , xkg ]

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The gyro error state vector xg discussed below has dimension thirty-nine The potential state order could be higher depending on the dynamic model that is appropriate for each state element (eg, random constant, scalar Gauss-Markov) In any particular application, the entire vector xg may not be required; instead, the designer must determine which error terms have a signi cant e ect on performance Those terms must be identi ed either in the laboratory or during on-line operation Bias Error (3 States) De ne the the augmentation state component to model gyro bias as xbg = bg The partial derivative of Tp with respect to xbg is Tp = I xbg (11135)

116 AUGMENTED STATE EQUATIONS Scale Factor and Misalignment Error (9 States) SFg g , which has the structure p SFp gpr gpq SFq gqp Ag = gqr grq grp SFr

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