3 APPLYING REDO DATA TO PHYSICAL STANDBY DATABASES

Shengyue Ji, Guoliang Li, Chen Li, and Jianhua Feng. Efficient interactive fuzzy keyword search. In Proc. 18th Int. World Wide Web Conf., pages 371–380, 2009. DOI: 10.1145/1526709.1526760 5.3.6
David S. Johnson, Christos H. Papadimitriou, and Mihalis Yannakakis. On generating all maximal independe[r]

Creating indexes
T he longer I work with databases, the more I become convinced that the real magic is the physical schema design. No aspect of application devel- opment has more potential to derail an application or enable it to soar than the physical schema — n[r]

setting. Such well defined and strong processes include, for instance, clear model evaluation procedures (Blockeel and Moyle, 2002).
Different perspectives exist on what collaborative Data Mining is (this is discussed further in section 54.5). Three interpretations are: 1) multiple softwar[r]

Diethyl ether 60297 C 4 H 10 O 48.7
Thiophene 110021 C 4 H 4 S 160
Henry’s constant H at 25 °C is the vapor pressure at 25 °C times the infinite dilution activity coefficient, also at 25 °C. Infinite dilution activity coefficients are from Mitchell and Jurs, J. Chem. Inf. Comput. Sci . 38: 200[r]

application referencing the data had to be updated. Relational databases brought a revolu- tionary change to this architecture. Relational DBMS introduced data independence, which separated the physical model of the data from its logical model. Ora[r]

Although the examples in the present chapter were focused on data retrieval, stored procedures and functions are also quite useful in applying data updates. Our next chapter, ‘‘Modifying Data,’’ will take us completely out of the realm of data retrieval and move us[r]

1.3 Learn About Relational Databases
Similar to nonrelational databases discussed in the previous section, relational databases
store data records in two or more data tables. However, relational databases are different than nonrelational databa[r]

These processes and environments are both expensive to maintain and conducive to error. For example, with history tables, and work-in-progress in external staging areas, and a series of pending transaction datasets, a change to a single semantic unit of information, e.g. to