Data Blending

What Does Data Blending Mean?

The practice of data blending involves taking data from different sources and compiling it into a single useful and standardized data set. It is a major part of strategy in the big data age, as businesses work with large and diverse volumes of data to try to define business intelligence and make decisions about enterprise.


Techopedia Explains Data Blending

Data blending takes place in many different ways, but it typically starts with the process of aggregating data from different sources. Experts might segment the process of data blending into three steps: the first step being data acquisition, the second step being the compilation of data, and the third step being the refinement or cleansing of data into a more consistent and accessible end result.

For example, a company may have three or four different kinds of database tables in different data centers or different parts of an IT architecture. The data blending approach would begin with intaking all of these different data from different sources and compiling it into one single database table, consolidating it into something that can be kept in a single repository.


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Margaret Rouse

Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical, business audience. Over the past twenty years her explanations have appeared on TechTarget websites and she's been cited as an authority in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine and Discovery Magazine.Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages. If you have a suggestion for a new definition or how to improve a technical explanation, please email Margaret or contact her…