Fundamentals of Data Cube & OLAP Operations

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Presentation transcript:

Fundamentals of Data Cube & OLAP Operations

Data as Table Sales of Chennai TV DVD Audio Q1 2000 1000 500 Q2 1500

Sales of Trichy TV DVD Audio Q1 1000 100 500 Q2 200 Q3 800 300 Q4 1500 400

Multidimensional (3D) Table Items TV DVD Audio City Chennai Trichy Q1 2000 1000 100 500 Q2 1500 200 Q3 800 300 Q4 400

Sample Data cube

Cuboids

Summarization - Cuboids data at different degrees of summarization we can construct a lattice of cuboids, each showing the data at a different level of summarization, or group by (i.e., summarized by a different subset of the dimensions). The lattice of cuboids is then referred to as a data cube. lattice of cuboids forming a data cube for the dimensions time, item, location, and supplier.

Base & Apex The cuboid which holds the lowest level of Summarization is called the base cuboid. 3-D (non-base) cuboid for time, item, and location, summarized for all suppliers. The 0-D cuboid which holds the highest level of summarization is called the apex cuboid. The apex cuboid is typically denoted by all.

OLAP Operations Slice Dice Drill Pivot / Rotate Drill / Roll-up Drill-down Drill-across Drill - through Pivot / Rotate

Slice Slice ? C[time, items, cities] City = chennai

Dice Dice ? C[time, items, cities] time = Q1, Q2 & items = TV, DVD

Drill - up Drill-up ? C[time, items, cities] T1 = Q1&Q2 T2 = Q3&Q4

Drill-down Drill-down ? C[time, items, cities] Quarter = Month

Drill - across C[time, items, cities] ? City -> Month

Drill - through Drill - through ? C[time, items, cities] RDBMS

Pivot Pivot ? C[time, items, cities] Cities <-> time