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Establishing 'Making it Happen' as a 'Formal & Predictable' Discipline
  OLAP Server- scalability and Performance  

Execution-MiH ENCYCLOPEDIA  →   Vendor- IT Tool Domain →  SECTION - BI platform Tools → 

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.
 

  OLAP Server- scalability and Performance  

All Chapters in "BI platform Tools." Section
 OLAP - Database Architecture Capabilities →  OLAP Server- scalability and Performance →  OLAP Server Administration, Security and Tuning → 

 
 
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OLAP Security & Tuning
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