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While model-based techniques have previously been applied to the area of database interfaces, they have not been specifically targeted at the important area of object database applications.
Similarly, Microsoft is retooling its Azure database interfaces to be less of a toy and more in line with its developer expectations, slowing its progress at a critical stage of the on-demand/on-premises pitch.
Airtable is not the only company that has identified the problem and tried to solve it by building powerful macros under the hood of otherwise standard-looking database interfaces.
In a previous work, we presented a prototype for testing relational database applications in presence of poor quality data [16], which is essentially a tool for injecting poor quality data on relational database interfaces (namely on JDBC interfaces).
Assessing maintainability is a difficult problem which has seen vast amounts of research throughout the years, but it has seldom been focused explicitly on the database itself (in particular due to the widespread usage of the relational model with similar database interfaces).
In Perl 5, database interfaces are implemented by Perl DBI modules.
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A java server application manages several activities mainly multiple client communication over ethernet, database interface and data storage.
Database Interface (DBI) is the general Perl-to-data-source interface and individual databases are using the database driver (DBD) modules.
According to the functional requirements, the system is divided into three parts, such as 3D graphics engine, 2D graphics engine, database interface and so on.
This work develops a web-based database interface engine whose content and structure is generated through interaction with a metadata table.
Furthermore, until an explicit mapping to a given data source is introduced within a database interface, this data source is inaccessible or difficult to access, making the data practically non-existent to the users of these databases.
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