Data Management

Information about Data Management

Data management comprises all the disciplines related to managing data as a valuable resource. The official definition provided by DAMA is that "Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise." This definition is fairly broad and encompasses a number of professions which may not have direct technical contact with lower-level aspects of data management, such as relational database management.

Topics in Data Management include:

Data analysis
Database management system
Data modeling
Database administration
Data warehousing
Data movement
Data mining
Data quality assurance
Data security
Meta-data management (data repositories, and their management)
Data architecture

Usage

The neutrality of this section is disputed.
Please see the discussion on the talk page.

In modern management usage, one can easily discern a trend away from the term 'data' in composite expressions to the term information or even knowledge when talking in non-technical context. Thus there exists not only data management, but also information management and knowledge management. This is a fairly detrimental tendency in that it obscures the fact that is usually always plain, traditional data that is managed or somehow processed on second looks. The extremely relevant distinction between data and derived values can be seen in the information ladder. While data can exist as such, 'information' and 'knowledge' are always in the "eye" (or rather the brain) of the beholder and can only be measured in relative units.

External links

For other uses, see Data (disambiguation).

Debt, AIDS, Trade in Africa (or DATA) is a multinational non-government organization founded in January 2002 in London by U2's Bono along with Bobby Shriver and activists from the Jubilee 2000 Drop
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Dama (Arabic: داما) is a village in southern Syria, in As Suwaydā' Governorate. It is located in the heart of the Lejah lava plateau, 29 km north west of the city of As Suwayda.
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A relational database is a database that conforms to the relational model, and refers to a database's data and schema (the database's structure of how that data is arranged).
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Data analysis is the act of transforming data with the aim of extracting useful information and facilitating conclusions. Depending on the type of data and the question, this might include application of statistical methods, curve fitting, selecting or discarding certain
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A database management system (DBMS) is computer software designed for the purpose of managing databases. Typical examples of DBMSs include Oracle, DB2, Microsoft Access, Microsoft SQL Server, PostgreSQL, MySQL, FileMaker and Sybase Adaptive Server Enterprise.
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In computer science, data modeling is the process of creating a data model by applying a data model theory to create a data model instance. A data model theory is a formal data model description. See database model for a list of current data model theories.
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A database administrator (DBA) is a person who is responsible for the environmental aspects of a database. In general, these include:

Recoverability - Creating and testing Backups
Integrity - Verifying or helping to verify data integrity

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A data warehouse is the main repository of an organization's historical data, its corporate memory. It contains the raw material for management's decision support system. The critical factor leading to the use of a data warehouse is that a data analyst can perform complex queries
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ETL also means Express Toll Lanes, see Express Toll Lanes.

Extract, Transform, and Load (ETL) is a process in data warehousing that involves

extracting data from outside sources,

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Data mining can be defined as "the nontrivial extraction of implicit, previously unknown, and potentially useful information from data".^[1] Data mining may also be defined as "the science of extracting useful information from large data sets or databases".
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Data quality assurance is the process of profiling the data to discover inconsistencies, and other anomalies in the data and performing Data cleansing activities to improve the data quality.
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Data security is the means of ensuring that data is kept safe from corruption and that access to it is suitably controlled. Thus data security helps to ensure privacy. It also helps in protecting personal data.
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Data Architecture is the design of data for use in defining the target state and the subsequent planning needed to hit the target state. Data Architecture is one of the pillars of Enterprise Architecture and handshakes with its peer pillars of Business Architecture, Application
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A management fad is a derisive term use to characterize a change in philosophy or operations that sweeps through businesses and institutions, and then disappears when enthusiasm for it wanes.
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Information is the result of processing, gathering, manipulating and organizing data in a way that adds to the knowledge of the receiver. In other words, it is the context in which data is taken.
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Knowledge is defined (Oxford English Dictionary) variously as (i) expertise, and skills acquired by a person through experience or education; the theoretical or practical understanding of a subject, (ii) what is known in a particular field or in total; facts and information or
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Information management is the collection and management of information from one or more sources and the distribution of that information to one or more audiences. This sometimes involves those who have a stake in, or a right to that information.
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Knowledge Management ('KM') comprises a range of practices used by organisations to identify, create, represent, and distribute knowledge for reuse, awareness and learning.
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Data processing is any computer process that converts data into information or knowledge. The processing is usually assumed to be automated and running on a computer. Because data are most useful when well-presented and actually informative
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The information ladder is a diagram created by education professor Norman Longworth to describe the stages in human learning. According to the ladder, a learner moves through the following progression to construct 'wisdom' at the highest level from 'data' at the lowest level:
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