Chapter 1: Background
نویسندگان
چکیده
• A representation for sparse data. Consider attributes about an employee, and suppose we wish to record hobbies data. For each hobby, the data we record will be different and hobbies are fundamentally sparse. This is straightforward to model in a relational DBMS but it leads to very wide, very sparse tables. This is disasterous for disk-based row stores but works fine in column stores. In the former case, JSON is a reasonable encoding format for the “hobbies” column, and several RDBMSs have recently added support for a JSON data type.
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تاریخ انتشار 2016