Business Intelligence conceptual design paves the way for BPPA (Bus Parallel Processing Architecture). Bus Architecture is the epicenter of developing a well knit dimensional model i.e. translate business processes/sub-business processes into star schema's with dimensions drawing on the master data and transactions finding its way to the facts. Knitting is taken care off through conformed/shared dimensions.
Logical layer takes the bus architecture to the implementation turf, developing the database ER model leading to creation of database tables and bringing star schema into existence in relational database. Physical layer provides the infrastructure for DW i.e. servers, networks etc.
BPPA works on the principle of dimensional redundancy across servers (virtual servers). So each fact moves into a dedicated box thus allowing scaling out the enterprise DW - enabling cloud move for our DW. Conformed/shared dimension are redundant on respective star schema. Cost or overhead of this approach is maintaining redundant copies of dimensions. ROI of this is performance gain and ability to port the scaled out solution to multiple small servers and eventually to cloud.
To top up fact partitioning can be done, as most database vendors now provide this - out of the box, thus reducing IO footprints of fact access.
Logical layer takes the bus architecture to the implementation turf, developing the database ER model leading to creation of database tables and bringing star schema into existence in relational database. Physical layer provides the infrastructure for DW i.e. servers, networks etc.
BPPA works on the principle of dimensional redundancy across servers (virtual servers). So each fact moves into a dedicated box thus allowing scaling out the enterprise DW - enabling cloud move for our DW. Conformed/shared dimension are redundant on respective star schema. Cost or overhead of this approach is maintaining redundant copies of dimensions. ROI of this is performance gain and ability to port the scaled out solution to multiple small servers and eventually to cloud.
To top up fact partitioning can be done, as most database vendors now provide this - out of the box, thus reducing IO footprints of fact access.
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