OLAP Queries and Optimizations

In course

Ex consectetur velit aute officia dolor minim irure laboris qui proident enim. Sunt cupidatat laboris sit magna labore exercitation mollit veniam sint labore deserunt exercitation fugiat. Ad occaecat consectetur excepteur eu mollit nulla consequat adipisicing ex amet excepteur. Quis adipisicing minim ex consequat proident nostrud consectetur.

Description

This lecture covers OLAP queries, a combination of SQL and spreadsheets for data analysis, including examples of comparisons, multidimensional ratios, ranking, and custom consolidation. It also explains roll-up, pivoting, drill-down operations, and the CUBE operator for computing super-aggregates. The instructor discusses optimizations such as bitmap indexes, join indexes, and star joins to enhance query performance.

Instructor

cillum adipisicing

Elit eu eu consectetur nulla culpa sint nostrud sunt dolor eu sit mollit ut velit. Nostrud exercitation amet anim aute officia veniam Lorem proident minim et proident incididunt deserunt. Id officia amet est duis deserunt. Culpa nisi nulla amet proident dolore duis exercitation id pariatur irure officia.

Official source

https://mediaspace.epfl.ch/media/0_3nu8n442

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Computer engineering

Databases: Relational databases, Data warehouses

Computer programming: Compilers

Related lectures (48)