Data parsing is the process of converting data from one format to another with the intention of simplifying it and making it more comprehendible. Parsing is a technical capability that, according to Gartner analyst Jason Medd, can be broken down into three categories in the context of data management. The first is data set level parsing. Medd said that an example of this kind of parsing is converting a comma-separated values file into Excel in order to change it from a comma delimited string to a set of columns that are more easy to view and manipulate. The next category, record level parsing, happens when receiving text information that requires further breakdown. “An example would be a name and email address combination (John Doe <jdoe@gmail.com>). Parsing could be applied to separate the name and email into discrete fields allowing you to create an email and address it to John Doe,” Medd explained. The final category is attribute level parsing which Medd said could be
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