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Data transformation involves converting information from one format to another, including programs and languages. SQL is used to manage data, and an executable program converts data into desired formats. Data brokerage uses a data model as an intermediary. Improvements in technology allow for easier sharing of data across platforms.
Data transformation is the process of converting information or data from one format to another format. While the strategy is often thought of in terms of converting documents from one format to another, data transformations can also involve converting programs from one type of computer language to a different format to allow the program to run on one platform specific. The actual transformation may involve converting multiple data streams into a common format or converting a single format into multiple different forms for use on a variety of platforms.
The data transformation process involves the use of what is known as SQL or structured query language. SQL is the computer language responsible for managing the information that resides in some type of data management system. One of the oldest languages used in modern program design, SQL data transformation allows you to relate data between different programs by handling the efficient conversion of data into formats that each of the associated programs can recognize.
In actual use, data transformation involves the use of an executable program that can read the base or source language of the data and identify the language or languages into which the data is to be translated for use by other programs . Once the transformation mapping is complete, the program converts the data into the desired single or multiple formats and distributes the converted data accordingly. With many applications, this happens in seconds.
A similar process is known as data brokerage. Like data transformation, the idea is to make data in one format usable in another format. One difference with mediation is that the data mapping process involves the creation of what is known as a data model, which acts as an intermediary between the two formats involved, rather than the direct translation that occurs with the transformation of information.
As with many types of information technology, data transformation is an ever-evolving process as new programs help increase the efficiency and scope of how information can be translated. As more programs and formats are included in this process, the ability to share data across many different platforms that were once totally incompatible has increased significantly. In a global environment where collaborators may not always use the same programs or languages as the basis for their data systems, these continuous improvements mean significantly less time spent on manual translation and data entry between systems.
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