OLAP OPERATIONS. OLAP ONLINE ANALYTICAL PROCESSING OLAP provides a user-friendly environment for Interactive data analysis. In the multidimensional model,

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Presentation transcript:

OLAP OPERATIONS

OLAP ONLINE ANALYTICAL PROCESSING OLAP provides a user-friendly environment for Interactive data analysis. In the multidimensional model, data are organized into multiple dimensions, and each dimension contains multiple levels of abstraction defined by concept hierarchies.

Olap operations ROLL-UP DRILL-DOWN SLICING AND DICING PIVOT (ROTATE)

CENTRAL CUBE

ROLL UP The roll-up operation (also called the drill-up operation by some vendors) performs aggregation on a data cube, either by climbing up a concept hierarchy for a dimension or by dimension reduction. ascending the location hierarchy from the level of city to the level of country.

DRILL DOWN Drill-down is the reverse of roll-up. It navigates from less detailed data to more detailed data. Drill-down can be realized by either stepping down a concept hierarchy for a dimension or introducing additional dimensions.

SLICING The slice operation performs a selection on one dimension of the given cube, resulting in a sub cube the sales data are selected from the central cube for the dimension time using the criterion time = “Q1.”

DICING The dice operation defines a sub cube by performing a selection on two or more dimensions. On the central cube based on the following selection criteria that involve three dimensions: (location = “Toronto” or “Vancouver”) and (time = “Q1” or “Q2”) and (item = “home entertainment” or “computer”).

PIVOT Pivot (also called rotate) is a visualization operation that rotates the data axes in view to provide an alternative data presentation. a pivot operation where the item and location axes in a 2-D slice are rotated.

Other OLAP operations DRILL-ACROSS DRILL-THROUGH Drill-across executes queries involving (i.e., across) more than one fact table. Drill-through operation uses relational SQL facilities to drill through the bottom level of a data cube down to its back-end relational tables.

4-D DATA CUBE

The cuboid that holds the lowest level of summarization is called the base cuboid. The 0-D cuboid, which holds the highest level of summarization, is called the apex cuboid

QUERIES