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Basic information about the OLAP programming language

Basic information about the OLAP programming language


OLAP is a kind of array that runs between the two dimensional spread sheets. It also helps in analyzing the financial data. This is a programming language and it is same as the MDX and the SQL. The methods that are used in analyzing the data are generally called as the dimensions. There are many dimensions like the two dimensions and the three dimensions. In the OLAP there are three dimensions. It is generally consists of numeric facts that are called as the measures. These measures are again categorized into certain dimensions. These dimensions serve many new operations. It is a kind of software system that has been introduced in the modern technological world.

OLAP is a kind of the Meta data process. This Meta data helps in the calculation and in the analyzing the data. It is very helpful software system. This server is a high capacity server. It is specifically designed to operate and to serve the structure of the multi dimensional data. Generally a multi dimensional structure is designed in such a way that all the data are arranged and can be analyzed in a proper manner. The design and the structure of the data generate rapid ad hoc information. It also retrieves the fast and the flexible calculation.

This server is based on the formulaic information. This server helps to generate the basic multi dimensional information. This information is very much valuable in the data analyzing process. So this server helps to provide the information at a very rapid speed. This OLAP is query type language. Any language query is done through this process.

OLAP provides the preferred method for data analyzing process. It is basic of the programming language. Its role is very important in any software project. The characteristics of OLAP is quite same as the characteristics of MDX or the multi dimensional Expression. Generally a multi dimensional structure is designed in such a way that all the data are arranged and can be analyzed in a proper manner. The design and the structure of the data generate rapid ad hoc information. It also retrieves the fast and the flexible calculation.
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