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OLAP Server Handling Multidimensional Analytical Queries

OLAP Server Handling Multidimensional Analytical Queries


Online Analytical Processing, some also say OLAP, is a wonderful technique that has played a pivotal role in making various IT processes much smoother and simple. As far as the working system of OLAP is concerned, this technique is primarily dedicated to helping the end users provide a very quick and instant access to large amounts of data. Apart from it, sorting out multidimensional analytical queries which are commonly raised by different parties has also become a very simple task with the help of OLAP server

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A traditional database term "Online Transaction Processing", also known as OLTP, is majorly responsible for deriving the term OLAP.


OLAP server is a perfect solution serving various verticals such as sales and marketing, management reporting, financial reporting and budgeting. Whenever the requirement of doing quick access to vast amounts of data comes into existence, the need of Online Analytical Processing becomes so vital. In this regard it is also true that multidimensional data representations are used by these servers in order to provide the users an instant and direct access to data warehouses where the storage of this data takes place. Cubes can be another name of multidimensional data representations. The warehouses store the data, which is arranged by OLAP cubes, in the form of the dimension and fact tables. Here, the usage of software by these servers is quite important in order to equip the users with real-time data analysis capabilities which work as a boon to make aware of the information which is stored in warehouses.

There are some professionals who use Online Analytical Processing as an alternative to approach to data mining tasks instantly and speedily without leaving adverse effects on database performance. In this regard, indexing tools and algorithms are primarily used by OLAP, which can sometimes also refer to as a separate component. In the present scenario, the usage of OLAP server has become quite common in most of IT organizations in order to sort out various systems related issues.
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