When working with big data, it’s almost guaranteed that you’ll have at least two different data sources. Well, how do you deal with analyzing all of your data if it’s stored in different places? You need to blend it! Simply put, data blending is taking two or more disparate sets of data from a multitude of unique sources and combining them into one cohesive data set. Data blending is beneficial for analyzing multiple data sets together to solve specific problems and answer individual questions.
The blending process involves preparing each data source and then joining them together. Fortunately today with such advanced analytics tools, anyone is able to blend data intuitively. There are two types of self-service tools that can be used for data blending: visual analytics tools and data preparation tools. For both types of tools, there are many different product options; always keep your needs in mind when choosing a product. For a deeper look into the different data blending tools and benefits of blending data sources, check out this tutorial.