complex data type

complex data type

[′käm‚pleks ′dad·ə ‚tīp]
(computer science)
A scalar data type which contains two real fields representing the real and imaginary components of a complex number.

complex data type

Any data that does not fall into the traditional field structure (alpha, numeric, dates) of a relational DBMS. Examples of complex data types are bills of materials, word processing documents, maps, time-series, images and video. In a relational DBMS, complex data types are stored in a LOB, but either the client application or some middleware is required to process the data. In an object DBMS or an object-relational DBMS, complex data types are stored as objects that are integrated into and activated by the DBMS.
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What should exist is a "range" or perhaps an "interval" complex data type that consists of a start and a stop date, yet could still be considered a single attribute and could be "matched" directly against an external date to respond positively/negatively saying this "interval" was/wasn't active at that point-in-time Maybe "data type" is an imprecise term, maybe "domain" would be more appropriate, but the terms both have spilled across each other.
Talend's native support for Hadoop makes it possible to scale to any level and support any complex data type, so companies can leverage their Hadoop clusters for peak data volumes and complex transformations.
That's the Vendor Neutral Archive approach, which can cope with both complex data types such as radiology images but also other sorts of clinical data--including scanned documents, when wedded to a proper Content Management platform.
The purpose-built Aster architecture was specifically developed to handle complex data types that do not fit neatly into rows and columns.
These are powerful and, by necessity, complex data types to learn for aspiring programmers, but good examples in the chapter are of great help.
XML schemas enable the developer to require that documents contain specific data types for tags, as well as create user-defined complex data types, data ranges, and masks.
The SoundView survey includes such other prominent indicators for the RDBMS market as which database vendor is of most strategic importance to companies, spending intentions by application type, purchase criteria (scalability, experience, data warehousing support and price), and spending intentions for hardware platforms and emerging DBMS architectures for complex data types.
Missed out is support for complex data types, typically not used for embedded applications, and some of the complexities of the registry.
The older SQL-92 has no facilities for creating complex data types.
Corporate databases are forced to contend with an ever-changing and growing data set, often needing to store complex data types that traditional RDB systems have trouble handling.
The NEC solution with SQL Server 2012 offers built-in support for complex data types, greater interoperability with varied platforms as well as common IT and development tools.
real-time data, access to complex data types (structured/ unstructured), integrating cloud/Web data, self-service, linked data, etc.