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Slicing & Dicing: Difference between revisions
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The term "slice & dice" became popular when multidimensional databases became a thing. These new (at the time) database systems allowed base data to be seen from various perspectives (dimensions) and summarized, or aggregated, in various ways at multiple levels, so the term "slice & dice" became handy in referring to what a database user does in order to make sense or use of a set of data that may initially seem impervious. | The term "slice & dice" became popular when multidimensional databases became a thing. These new (at the time) database systems allowed base data to be seen from various perspectives (dimensions) and summarized, or aggregated, in various ways at multiple levels, so the term "slice & dice" became handy in referring to what a database user does in order to make sense or use of a set of data that may initially seem impervious. | ||
But | But slicing & dicing is not limited to multidimensional database systems; relational systems have their own forms of data analysis. A Memento user may collect data of various sorts, linked together in various ways, and it can be hard to see truly useful views of that data that are effective in making decisions. We call the attempt to do so '''''slicing & dicing''''', and Memento provides several good tools to enable it. | ||
The following sections provide an overview to the process of slicing & dicing. If you already know what you want to do and want to see specifically how to do it in Memento, see '''[[How:Slice & Dice Library Data]]'''. | The following sections provide an overview to the process of slicing & dicing. If you already know what you want to do and want to see specifically how to do it in Memento, see '''[[How:Slice & Dice Library Data]]'''. | ||