The document discusses OLAP (Online Analytical Processing), which is a data discovery tool that enables multidimensional analysis of data. It describes key features of OLAP like business-focused calculations and consistency of information. The document also defines common OLAP operations like roll-up, drill-down, slicing, dicing and pivoting which allow users to aggregate, navigate and select subsets of data in different dimensions. It concludes by thanking the reader and wishing them a nice day.

1. Olap
operations
Name – Rohanjaiswal
Roll no: Bwu/Bba/16/042
Sub code: bba 405

2. Online Analytical Processing, or OLAP, is
a powerful data discovery tool designed to enable
users to perform multidimensional
analysis of data.

3. FEATURES OLTP OLAP

4. THE NEED FOR OLAP
• Business-Focused Multidimensional Data
• Business-Focused Calculations
• consistency of information
• predictive advantages

5. Roll up / Drill up
The roll-up operation performs aggregation
on a data cube, either by climbing up a
concept hierarchy for a dimension or by
climbing down.

6. Roll down / Drill down
• The roll down operation is the reverse of
roll up. It navigates from less detailed
data to more detailed data.

7. Slicing
The slice operation performs a selection on one
dimension of the given cube, resulting in a
subcube. Reduces the dimensionality of
the cubes.

8. Dicing
• The dice operation defines a sub-cube by
performing a selectionon two or more
dimensions.

9. Pivoting
• Pivot is also known as rotate . It Rotates the
data axis to view the data from different
perspectives.

10. BIBLIOGRAPHY
• https://techdifferences.com
• http://www.lastnightstudy.com

11. Thank you !
&
have a nice day !