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Oracle Database 11g Family
Oracle Database 11g Family

... All four editions of Oracle Database 11g are built using the same reliable database engine architecture and are completely compatible with each other. They are also available on a choice of operating systems and include a common set of application development tools and programming interfaces. Using ...
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... regular, say similarity-based, database selection method (such as those proposed in [7, 25]) is used to further select the best databases for the query from the returned databases by the first step. The databases selected by this two-step approach are much more likely to contain relevant documents t ...
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... On the other hand, NOSQL database does not require defining relations through constraints. With a non-relational database, one “collection” (the non-relational version of a table) would store all of the posts. Each comment associated with a post would be stored as part of that post’s record within t ...
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... there are some differences between the two approaches. View integration is “a process in classical database design deriving an integrated schema from a set of user views”. In view integration views are usually based on the same data model (homogeneous), and have no “associated recorded extension”. O ...
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... – iDFQL [1] and RALT [2] are examples of interactive systems that enable a logical plan tree to be defined using an interactive graphical interface with a data flow approach. RALT is the only learning tool for relational algebra with the interesting feature of data lineage to allow users to track ho ...
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Remote Backup Systems
Remote Backup Systems

...  Copying the entire page table is very expensive  Can be reduced by using a page table structured like a B+-tree – No need to copy entire tree, only need to copy paths in the tree that lead to updated leaf nodes  Commit overhead is high even with above extension  Need to flush every updated page ...
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Open Database Connectivity

In computing, ODBC (Open Database Connectivity) is a standard programming language middleware API for accessing database management systems (DBMS). The designers of ODBC aimed to make it independent of database systems and operating systems. An application written using ODBC can be ported to other platforms, both on the client and server side, with few changes to the data access code.ODBC accomplishes DBMS independence by using an ODBC driver as a translation layer between the application and the DBMS. The application uses ODBC functions through an ODBC driver manager with which it is linked, and the driver passes the query to the DBMS. An ODBC driver can be thought of as analogous to a printer driver or other driver, providing a standard set of functions for the application to use, and implementing DBMS-specific functionality. An application that can use ODBC is referred to as ""ODBC-compliant"". Any ODBC-compliant application can access any DBMS for which a driver is installed. Drivers exist for all major DBMSs, many other data sources like address book systems and Microsoft Excel, and even for text or CSV files.ODBC was originally developed by Microsoft during the early 1990s, and became the basis for the Call Level Interface (CLI) standardized by SQL Access Group in the Unix and mainframe world. ODBC retained a number of features that were removed as part of the CLI effort. Full ODBC was later ported back to those platforms, and became a de facto standard considerably better known than CLI. The CLI remains similar to ODBC, and applications can be ported from one platform to the other with few changes.
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