What is slicing in data warehouse?

A slice in a multidimensional array is a column of data corresponding to a single value for one or more members of the dimension. Slicing is the act of divvying up the cube to extract this informa. tion for a given slice. It is important because it helps the user visualize and gather information specific to a dimensionClick to see full answer. Also asked, what is slicing and dicing in data warehouse? Definition: Slicing and Dicing Slicing and Dicing refers to a way of segmenting, viewing and comprehending data in a database. Large blocks of data is cut into smaller segments and the process is repeated until the correct level of detail is achieved for proper analysis.Likewise, what is the difference between slicing and dicing? To chop is “to cut an item into small pieces where uniformity of size and shape is neither necessary nor possible,” according to “On Cooking.” To mince is “to cut an item into very small pieces” and often is used interchangeably with “finely chop.” Dicing is most specific–“to cut an item into cubes,” the size of which Correspondingly, what does slicing of data mean? To slice and dice is to break a body of information down into smaller parts or to examine it from different viewpoints so that you can understand it better. In data analysis, the term generally implies a systematic reduction of a body of data into smaller parts or views that will yield more information.What is OLAP example?An OLAP Cube is a data structure that allows fast analysis of data according to the multiple Dimensions that define a business problem. A multidimensional cube for reporting sales might be, for example, composed of 7 Dimensions: Salesperson, Sales Amount, Region, Product, Region, Month, Year.

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