1. Fundamentals of Data Cube & OLAP Operations

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

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

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

5. Sample Data cube

6. Cuboids

7. 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.

8. 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.

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

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

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

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

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

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

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

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