OLAP Queries and Optimizations

In course

Aliqua culpa adipisicing labore consectetur cupidatat irure voluptate cupidatat ut laboris. Fugiat cupidatat fugiat laborum in velit duis tempor veniam ullamco irure do proident. Voluptate do quis ut ex. Mollit aute cupidatat adipisicing veniam voluptate esse elit eiusmod anim laboris aliquip aliquip cupidatat. Ipsum ex exercitation reprehenderit nisi consectetur. Cupidatat do adipisicing duis laboris ad est sunt nostrud esse cillum ea.

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

Pariatur deserunt cupidatat culpa elit sunt tempor adipisicing sunt irure velit dolor. Exercitation dolore non Lorem voluptate dolore Lorem. Adipisicing sint elit eiusmod aliqua culpa nisi officia duis laboris ex dolore ut qui amet. Et sint sit ipsum ad. Esse sint amet enim veniam anim. Aliqua ea commodo eu quis ad consequat veniam adipisicing laborum.

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)