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  OLAP Server- scalability and Performance  

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CHAPTER -  OLAP - Database Architecture Capabilities

This chapter provides the details around the Cache, Meta data, Multi-cube and other features of database architecture of an OLAP server tool.

Topics

OLAP Architecture Cache Management    

Cache management is a key differentiator to the response time to the queries demand on an OLAP server. It also has a bearing on RAM usage and network traffic load.
 

OLAP Dimensional Model Change Management    

There is an ever changing need environment around OLAP, which drives changes in the dimensions, levels, attributes and measures. An OLAP should be able to handle these changes in terms of speed and controls.
 

Multi Cube OLAP Architecture    

An OLAP tool should be able allow you navigate across the cubes, if the two cubes share a common dimension.
 

OLAP Server write backs    

User write-back is a facility which helps users to perform what-if analysis and business modeling using OLAP server capabilities. This is done without impacting the data lying in the Data-Warehouse. This feature is a unique differentiator between Data Warehouse and OLAP.
 

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  OLAP Server- scalability and Performance  

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 OLAP - Database Architecture Capabilities →  OLAP Server- scalability and Performance →  OLAP Server Administration, Security and Tuning → 

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