SAP NetWeaver BI Accelerator

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The technology to reduce the query time of SAP NetWeaver BI is termed as Accelerator. It uses Blade Servers based scalable architecture. The accelerator speeds up the query retrieval time by making use of parallel processing, indexing and compression. The rate, to which the latency is reduced, is from 10 to 100 percent which is highly considerable difference.  Figure 1 highlights the functioning and architecture of BI Accelerator. The effectiveness of accelerator requires heavy computation. Arrays and clusters of blade servers are used for this purpose. The accelerator achieves results through indexing distributed computing using the cache spread over the array of servers. The compressed data is first stored in the memory by going through the process of column based indexing. The indexed data is further stored in the array of cache enabling speedy search. All of the functioning remains invisible to the users through a layer of abstraction created by incorporating ‘easy to use’ and simple interfaces.  Information cubes are constructed through normal query process and there is no need to incorporate specialized queries. The accelerator saves a lot of internal design tasks that may be incorporated for faster queries but are cumbersome and time taking.

The most imposing impact that SAP net weaver BI has on the organizational setup is through the embedding of analysis. The first instance of SAP BI applications that is introduced into the market and is ‘Analytics Specific’ is named as “SAP xApp Analytics”. The concept behind embedded analytics is that raw data is handled such that it reaches its specific destinations. Analysis is then performed on the data with its results eventually getting implemented back into the applications concerned.


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Twaha Ahmed Minai is associated with computer science and software development industry since early 90s. His area of specialization is development and algorithms. On his credit he has several computer based tutorials designed for different walks of life including defence sector. He has been teaching software development and algorithm analysis at undergraduate and graduate levels for the past 12 years. He has been actively involved in computer science based research which includes Bio-informatics, Physiognomy and forecasting. He is an inquisitive follower of the ongoing developments in computing era.

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