Multidimensional Analysis of Distributed Xml Data

The expeditious proliferation of the internet to ubiquity, the infrangible dependence of global enterprises on Web services, the universal adoption of SOA, cloud computing, social media and online publishing has made XML the lingua franca of the digital age and has generated a plethora of data in XML. The immense popularity of NoSQL and document-oriented data stores have also added tremendously to this trend. At the same time the need for cost effective, low maintenance, simple, customizable and highly scalable analytical systems for small and medium size businesses, information and measurement companies, academic and research institutions. This paper presents a novel approach for dimensional analysis of distributed, disparate, heterogeneous, voluminous XML data, the Multidimensional Analysis of Distributed XML data – MAX – a scalable, high-performance, open source, schema-free, document-oriented database. The primary objective of the paper is to propose an architecture for a document-oriented database, including details of its foundation data structures and querying mechanism; based on existing standard technologies for multidimensional analysis of large set of XML data. The Motivations for this approach include simplicity of design, generality, cost-effectiveness, usability, horizontal scaling, storage efficiency, minimal use of memory and resources. The method has virtually no memory limitation or data set size limits and performs relatively well in terms of data latency and resource consumption. The paper details an implementation of this method along with sample performance