engleski

Novel BI data architectures

Most modern companies utilize business intelligence (BI) platforms and tools to acquire new insights into their customers and operations and consequently make better business decisions. The traditional approach to BI consists of a data warehouse containing historical data records, an OLAP engine for faster and more complex data analysis, and various reporting and visualization tools used to present the results. With the advent of big data and cloud technologies, the BI approaches have started to diverge to accommodate various new usage scenarios. Examples for such scenarios include small-scale analytics, which can be performed offline on personal computers, and large-scale, often near real-time, big data analytics. This paper gives an overview of the novel BI approaches and associated BI solutions, proposes architectural dimensions used to classify these systems, and presents a feature comparison with respect to the proposed dimensions.

BI architectures ; Big Data ; Real time BI ; Streams

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