OLAP Server – Dynamic Data Manipulator

OLAP Server Dynamic Data Manipulator

OLAP Server Dynamic Data Manipulator

OLAP server is helpful in serving many types of multi dimensional queries at a faster pace. This online analytical server performs the data analysis and produces the desired report to multiple users of an organization in multiple ways by using the data which is available through multiple data sources.

This is a server to several OLAP functions and provides help in performing high capacity data manipulation. This multi client data engine is also called an intelligent server which is specifically designed for performing and processing of multi user queries. It arranges the available information dynamically while supporting and operating multi dimensional database in a pre arranged approach. Apart from data mining and relational reporting of data, the methodology used by OLAP the main components of OLAP Server. People also call it as business intelligence software which helps business managers in investigating previous and current business performance and taking some vital business decisions for further business development.

The word OLAP is an acronym of online analytical processing which is derived from the term OLTP, a short form of online transaction processing, which is the traditional term used in the field of database manipulation. Many business houses use OLAP server in their different business aspects like budgeting, forecasting, management reporting and finance reporting. The configured database which is used in this methodology is based on a multidimensional data model which helps in enabling prompt resolution to many complex queries made by multiple users within the business house which may contain executives, business managers, business analytics and other people involved in various strategic decisions.

The output produced as a result of OLAP queries is generally made accessible in the matrix format where a dimension forms the row and column of the databases. OLAP Server employ the functionality of multi dimensional cubes, also known as OLAP cubes, and these cubes consist of many numeric facts and the facts are further categorized with the use of their dimensions. In simple terms, all the measures which are seen have the sets of labels which are associated and the dimensions describe the labels while providing details of the measures. According to the experts the OLAP cubes device answers to the user queries within 0.1% of the time taken by traditional relational databases used by OLTP.

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