| Daemon |
In Unix and other computer multitasking operating systems, a daemon is a computer program that runs in the background, rather than under the direct control of a user; they are usually instantiated as processes. The Daemon program, often started at the time the system boots and runs continuously without intervention from any of the users on the system, forwards the requests to other programs (or processes) as appropriate. Typically daemons have names that end with the letter "d"; for example, syslogd is the daemon which handles the system log. Windows OS refers to daemons as System Agents and services.
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| DAM: Digital Asset Management |
Digital asset management (DAM) refers to the practice and domain of organizing digital files, like images, documents, videos and presentations. The term asset is used to indicate that such files have some sort of intrinsic value that makes it worthwhile to manage them. DAM is related to and can be considered a superset of content management. For more information see also digital asset management systems and content management systems. To manage digital assets effectively, assets must be made available to the people who need them to efficiently contribute to the growth of the culture using them.
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| DARCS: David's Advanced Revision Co |
David's Advanced Revision Control System (Darcs) is a distributed software revision control system designed by David Roundy to replace the centralized Concurrent Versions System (CVS). In the Darcs Each copy of the source tree acts as a full repository, allowing several different versions to be maintained in different locations. Patches are global to the repository and are subject under certain conditions to reordering, as governed by the project's theory of patches
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| Data |
Data, in information industry, refers to distinct pieces of information, usually formatted in a special way. All information system is divided into two general categories: data and programs. Data can exist in a variety of forms - as numbers or text on pieces of paper, as bits and bytes stored in electronic memory, or as facts stored in a person's mind. Programs refer to the collections of instructions for manipulating data, which may be software programs for compute processing, or a set of instructions for manual data operation.
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| Data Architecture |
Data architecture describes how data is processed, stored, and utilized in a given system. It provides criteria for data processing operations that make it possible to design data flows and also control the flow of data in the system. Data architecture also includes topics such as metadata management, business semantics, data modeling and metadata workflow management.
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| Data Cleansing |
Data cleansing, also called as data scrubbing, is the process of detecting and removing and/or correcting a database to increase data accuracy, reduce redundancy and enhance consistency of different sets of data that have been merged from separate databases. Sophisticated software applications are available to clean a database data using algorithms, rules and look-up tables, a task that was once done manually and therefore still subject to human error.
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| Data Conversion |
Data conversion is the conversion of one form of computer data to another--the changing of bits from being in one format to a different one, usually for the purpose of application interoperability or of capability of using new features. At the simplest level, data conversion can be exemplified by conversion of a text file from one character encoding to another. More complex conversions are those of office file formats, and conversions of image and audio file formats are an endeavor that is beyond the ken of ordinary computer users.
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| Data Element |
Data element, as a term used in metadata, is an atomic unit of data that has the following characters: 1) An identification such as a data element name; 2) A clear data element definition; 3) One or more representation terms; 4) Optional enumerated values Code (metadata); 5) A list of synonyms to data elements in other metadata registries Synonym ring. Data elements usage can be discovered by inspection of software applications or application data files through a process of manual or automated Application Discovery and Understanding. Once data elements are discovered, they can be registered in a metadata registry.
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| Data Mapping |
Data mapping is the process of creating data element mappings between two distinct data models. Data mapping is the first step in creating a data transformation between a data source and a destination. For example, a company that would like to transmit and receive purchases and invoices with other companies might use data mapping to create data maps from a company's data to standardized ANSI ASC X12 messages for items such as purchase orders and invoices.
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| Data Migration |
Data migration refers to the translation of data between storage types, formats, or computer systems. Data migration is necessary when an organization decides to use a new computing systems or database management system that is incompatible with the current system. Data migration is usually performed programatically to achieve an automated migration, freeing up human resources from tedious tasks. It is required when organizations or individuals change computer systems or upgrade to new systems.
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| Data Modeling |
Data modeling is the process of structuring and organizing data. It defines a structure for data that is typically implemented in a database management system and that enables (and limits) to enter data in that structure. Data modeling is often the first step in database design and object-oriented programming as the designers first create a conceptual model of how data items relate to each other. Data modeling involves a progression from conceptual model to logical model to physical schema.
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| Data Processing |
Data processing is a computer process that converts data into required information. The processing is usually assumed to be automated and running on a computer. There are many data processing applications, such as accounting programs that convert raw financial data into meaninful reports for various purpose. Another example is customer relationship management systems (CRM) and employee relationship data systems.
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| Data Scrubbing |
Data scubbing, also called as data cleaning, is the process of detecting and removing and/or correcting a database to increase data accuracy, reduce redundancy and enhance consistency of different sets of data that have been merged from separate databases. Sophisticated software applications are available to clean a database data using algorithms, rules and look-up tables, a task that was once done manually and therefore still subject to human error.
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| Data Structure |
Data structure is the pattern to store data in a computer so that it can be used efficiently. Often a carefully chosen data structure will allow a more efficient algorithm to be used. The choice of the data structure often begins from the choice of an abstract data structure. A well-designed data structure allows a variety of critical operations to be performed, using as few resources, both execution time and memory space, as possible. Data structures are implemented using the data types, references and operations on them provided by a programming language.
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| Data Transformation |
Data transformation converts data from a source data format into destination data. Data transformation can be divided into two steps: 1) data mapping maps data elements from the source to the destination and captures any transformation that must occur; 2) code generation that creates the actual transformation program.
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| Database Administration |
Database administration refers to duties, typically performed by a DBA in an organization, such as disaster recovery (backups and testing of backups), performance analysis and tuning, and some database design or assistance thereof.
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| Database Model |
A database model is a theory or algorithm describing how a database is structured and used. Several such models have been suggested, for example, Hierarchical model, Network model, Relational model, Object-Relational model, Object model, Associative, Concept-oriented, Entity-Attribute-Value, Multi-dimensional model, Semi-structured, and Star schema.
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| Database Normalization |
Databases normalization is a process that eliminates redundancy, organizes data efficiently, reduces the potential for anomalies during data operations and improves data consistency. The formal classifications used for quantifying "how normalized" a relational database is are called normal forms. A non-normalized database is vulnerable to data anomalies because it stores data redundantly. If data is stored in two locations, but later is updated in only one of the locations, then the data is inconsistent; this is referred to as an "update anomaly". A normalized database stores non-primary key data in only one location.
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| Database Query Language |
Database query language is a kind of programming language to retrieve information from a database. The person formulating the query is expected to understand the relevant rules for formulating the query, and to program the query according to the requirements. Examples of the database query language are the CODASYL database language, "network" databases, relational algebra, relational calculus, Datalog, SQL3, QUEL, XPointer, XPath and OQL.
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| Database Server |
A database server is a computer program that provides database services to other computer programs or computers, as defined by the client-server model. The term may also refer to a computer dedicated to running such a program. Database management systems frequently provide database server functionality, and some DBMS's (e.g., MySQL) rely exclusively on the client-server model for database access.
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| Datalog |
Datalog is a query and rule language for deductive databases that syntactically is a subset of Prolog. Query evaluation with Datalog is sound and complete and can be done efficiently even for large databases. Query evaluation is usually done using bottom up strategies. For restricted forms of datalog that don't allow any function symbols, safety of query evaluation is guaranteed.
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| Dating Software |
Dating software refers to software that powers a dating website. This software runs on the server (computer) that hosts the dating website.
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| DB/DC: Database/Data Communications |
Database/Data Communications (DB/DC) refers to the software system that has both database and communications capabilities.
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| DB2: DataBase 2 |
DB2, abbreviated from DataBase 2, is a relational database system developed by IBM Corporation, originally for use on large mainframe computer systems. It has since been ported to a variety of platforms including SunOS, Solaris, Linux, Windows 95/98/NT/2000 and HP-UX. DB2 can be administered from either the command-line or a GUI. DB2 has APIs for .NET CLI, Java, Python, Perl, PHP, Ruby on Rails, C++, C, REXX, PL/I, COBOL, RPG, FORTRAN, and many other programming languages. DB2 also supports integration into the Eclipse and Visual Studio .NET integrated development environments.
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| DB: Database |
Database(DB) is a collection of organized information and data. In computer industry, database is an electronic filing system. Various techniques are used to model data structure. Most database systems are built around one particular data model, although it is increasingly common for products to offer support for more than one model. Traditional databases are organized by fields, records, and files. A field is a single piece of information; a record is one complete set of fields; and a file is a collection of records.
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