Olap Server: Why It Is A Perfect Alternative To Solve The Multidimensional Queries Instantly?

Internet has really revolutionized the corporate sector with its immense benefits

. The presence of Internet has provided a base for the businessmen to think out of the box. It is web world where myriad of tasks can be performed at one time. In this current competitive fiercely environment, now, the task of answering multidimensional analytical queries within a stipulated time can be possible with the help of OLAP servers, also known as Online Analytical Processing servers. The business intelligence domain includes the online analytical proacessing. Relational reporting and data mining are counted under the category of other parts of OLAP.

The traditional database term, also known as OLTP (Online Transaction Processing) is responsible for creating the term OLAP. Business reporting has the common usage of OLAP servers in its various aspects like financial reporting, sales and marketing, budgeting and management reporting.

The processing system of this methodology works on the basis of the databases that support a multidimensional data model through which a myriad of complex queries can be resolved quickly with the help of borrowed parts of hierarchical and navigational databases, which are faster as compared to relational databases.

As far as the concept part of the OLAP servers is concerned, they are completely based on the functionality of a multidimensional cube, also known as OLAP cube, which includes numeric facts whose categorization are done via dimensions. A star or snowflake schema of tables is responsible for the derivation of this data. Here, dimensions are used with the help of dimension tables while the records in the fact table play a crucial role in deriving the measures. If we define the whole process in a comprehensive manner then we would find that each measure encompasses a set of labels or meta-data associated and as far the role of dimension is concerned, it primarily focuses at describing these labels as well as enriching the users with the required details about the measure.

by: Carlos Quijada

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