A data architect is a person responsible for making sure an organization's strategic goals are optimized through the use of enterprise data standards. This frequently involves creating and maintaining a centralized registry of metadata. Metadata ( meta data, or sometimes metainformation) is "data about data" of any sort in any media
Data architecture includes topics such as metadata management, business semantics, data modeling and metadata workflow management. Data Architecture is the design of data for use in defining the target state and the subsequent planning needed to hit the target state
A Data Architect's job frequently includes the set up a metadata registry and allows domain-specific stakeholders to maintain their own data elements. A metadata registry is a central location in an organization where Metadata definitions are stored and maintained in a controlled method Data Architects also strictly and meticulously enforce standards and integrity within an Enterprise Data Model. Such rigor is necessary because in large enterprises the data model usually outlives all other IT/IS work products:
- Data and Data Model - 25 years+
- Systems - 10-20 years
- Applications - 3-10 years
- Code/Classes - 1-5 years
A side-effect of the methodical and precise nature of the work done by Data Architects is the type of personalities the role attracts, for example (this is very funny among DAs) Q: What is the difference between a Data Architect and a terrorist? A: You can negotiate with a terrorist.
A Data Architect has experience in the following technologies:
- Data dictionaries
- Data warehousing
- Enterprise application integration
- Metadata registry
- Relational Databases
- Semantics
- Structured Query Language (SQL)
- XML, including schema definitions and transformations. A data dictionary, as defined in the IBM Dictionary of Computing is a "centralized repository of information about data such as meaning relationships to other data origin A data warehouse is a Repository of an organization's electronically stored data Enterprise Application Integration (EAI is defined as the uses of Software and computer systems architectural principles to integrate a set of enterprise computer applications A metadata registry is a central location in an organization where Metadata definitions are stored and maintained in a controlled method A relational database is a Database that groups data using common attributes found in the data set Semantics is the study of meaning in communication The word derives from Greek σημαντικός ( semantikos) "significant" from Don't change "Extensible" An XML schema is a description of a type of XML document typically expressed in terms of constraints on the structure and content of documents of that type above and beyond Extensible Stylesheet Language Transformations ( XSLT) is an XML -based language used for the transformation of XML documents into other XML or "human-readable"
See also
A data flow diagram ( DFD) is a graphical representation of the "flow" of data through an Information system. Data modeling in Computer science is the process of creating a Data model by applying formal data model descriptions using data modelling techniques In Metadata, a data steward' s role is assigned to a person that is responsible for maintaining a Data element in a Metadata registry. Information security means protecting information and information systems from unauthorized access use disclosure disruption modification or destruction Metadata ( meta data, or sometimes metainformation) is "data about data" of any sort in any media The semantic spectrum (sometimes referred to as the ontology spectrum or the smart data continuum or semantic precision) is a series of increasinglyDapyx Software network: MP3 Explorer | Ebook Manager | Zenithic