Online Analytical Processing is a powerful and popular data analytical method. Complex data structures are explored and provide the necessary information.
Multidimensional: OLAP provides services in a wide variety of possible views, which are multidimensional conceptual view of data by supporting multiple hierarchies or dimensional aggregation path are provided.
Easy to understand: The data designed for OLAP analysis will be handled by any business logic and statistical analysis which is relevant to the developer and / application user. Simultaneously, for the target user, it makes easy enough.
Interactive: OLAP supports the business information through comparative data to the user. Users are encouraged for defining new ad hoc calculations which is a part of the analysis.
Fast: OLAP services are implemented in a multi-user client / server architecture and provide rapid responses to queries consistently, irrespective of database complexity.
Multidimensional: OLAP provides services in a wide variety of possible views, which are multidimensional conceptual view of data by supporting multiple hierarchies or dimensional aggregation path are provided.
Easy to understand: The data designed for OLAP analysis will be handled by any business logic and statistical analysis which is relevant to the developer and / application user. Simultaneously, for the target user, it makes easy enough.
Interactive: OLAP supports the business information through comparative data to the user. Users are encouraged for defining new ad hoc calculations which is a part of the analysis.
Fast: OLAP services are implemented in a multi-user client / server architecture and provide rapid responses to queries consistently, irrespective of database complexity.
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