Why You Need OLAP Servers

Online Analytical Processing servers, or OLAP servers,cube) which consists of numeric facts (measures) that
basically serve the purpose of rapidly answeringare categorized via dimensions. This data is usually
multidimensional analytical queries by different parties.derived from a star or snowflake schema of tables in
The methodology, as such, is a part of the businessa relational database, with dimensions being derived
intelligence domain, the other parts of which are datafrom the dimension tables and measures being derived
mining and relational reporting.from the records in the fact table. To state it in a
The term OLAP was basically created from OLTPsimpler manner, each measure can be seen have
(Online Transaction Processing), which is a traditionalhaving a set of labels or meta-data associated, while a
database term. OLAP servers are most frequentlydimension describes these labels and provides details
used in business reporting for sales and marketing,about the measure.
budgeting, financial reporting and managementFurther, many claim that OLAP cubes can devise an
reporting. The databases that are configured for thisanswer for around 0.1% of the time as would be taken
methodology are based on a multidimensional databy OLTP relational data and the mechanism that
model that allows the quick resolution of complexallows for such rapid speed is the usage of
queries by borrowing parts of navigational andaggregations. These are built from the fact table by
hierarchical databases, which are comparatively fasteraltering the granularity on specific dimensions to
than relational databases. An OLAP query's output isaggregate data along with the former. Although the
generally in a matrix format, with the dimensionsdetailed methodology is beyond the scope of this
forming the rows and columns of the same, and thearticle, the fact of the matter is that OLAP servers are
measures forming the values.increasingly being used by organizations around the
Coming to the concept part, OLAP servers employworld to speed up processes and simplify things for
the functionality of a multidimensional cube (OLAPthe IT staff.