Buradasın

Online Analytical Processing Overview

Yapay zekadan makale özeti

Core Concepts: OLAP enables quick multi-dimensional analytical query answering
OLAP is part of business intelligence, combining relational databases and reporting
Three basic operations: consolidation, drill-down, and slicing/dicing
System Components: OLAP cube contains numeric facts categorized by dimensions
Data stored in multidimensional structure with optimized indexing
Aggregations built from fact tables using various functions
Types of OLAP: MOLAP stores data in optimized multi-dimensional arrays
ROLAP works directly with relational databases
HOLAP combines MOLAP and ROLAP for optimal performance
History and Development: Term coined by Edgar F. Codd in 1993
First product was Express in 1970
Microsoft Analysis Services launched in 1998
Implementation: MDX became de facto standard query language in 2001
Various clients support interactive data exploration
Commercial products include Microsoft Analysis Services, Oracle OLAP Option
Performance: MOLAP generally delivers faster query performance
ROLAP shows better scalability but slower query performance
HOLAP balances performance and scalability through partitioning