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Data conversion is the conversion of computer data from one format to another. Throughout a computer environment, data is encoded in a variety of ways. For example, computer hardware is built on the basis of certain standards, which requires that data contains, for example, parity bit checks.
Data is stored on various media in files or databases, and is generated and consumed by software applications, which in turn support business processes. The need to transfer and convert data can be driven by multiple business requirements, and the approach taken to the migration depends on those requirements.
In computing, data transformation is the process of converting data from one format or structure into another format or structure. It is a fundamental aspect of most data integration [1] and data management tasks such as data wrangling, data warehousing, data integration and application integration.
A properly designed ETL system extracts data from source systems and enforces data type and data validity standards and ensures it conforms structurally to the requirements of the output. Some ETL systems can also deliver data in a presentation-ready format so that application developers can build applications and end users can make decisions.
In computing and data management, data mapping is the process of creating data element mappings between two distinct data models. Data mapping is used as a first step for a wide variety of data integration tasks, including: [1] Data transformation or data mediation between a data source and a destination
This is before data conversion. Data Conversion Tools are developed to convert the data from the current system (which was documented in the requirements analysis) to the new system. The data is mapped from one system to the other and data files are created that will work with the tools that are developed. The conversion is thoroughly tested ...
The containers for requirements in ReqIF are called specification objects (SpecObject), which have user-defined attributes. Each attribute has a data type, which is one of Boolean, Integer, Real, String, Enumeration (with user-defined values) and XHTML, which is also for formatted text and embedded objects, including images. Some datatypes can ...
Data refinement is used to convert an abstract data model (in terms of sets for example) into implementable data structures (such as arrays). [ citation needed ] Operation refinement converts a specification of an operation on a system into an implementable program (e.g., a procedure ).