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ITDA: Cube-Less Architecture for Effective Multidimensional Data Analysis

  • Prarthana A. Deshkar
  • Parag S. Deshpande
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 38)

Abstract

Recent developments in real-time applications, sensor technology, and various online services are responsible for generating large amount of data which can be used for analysis. Performing multidimensional data analysis on such type of data requires aggregation at various levels which is generally done using data cubes. Generation of data cubes involves lot of storage and time overheads which make such approach practically less feasible if aggregation involves lot of hierarchies in dimensions. The Integrated Tool for Data Analysis (ITDA) project aims to provide a data analytics solution, under single Web-based platform to address the issue of generating the cube for high volume data by proposing the ‘on-the-fly aggregation’ architecture. This paper presents the ITDA which aims to provide the support for absorption of data, modeling it in multidimensional model, analyzing the absorbed data, and producing effective visualization. Target users can do analysis on their data without relying on costly tools or any prior knowledge in programming. In this paper, detailed architecture of ITDA software with its operating mode is discussed.

Keywords

Multidimensional data analysis Data mining Cube Cube-less architecture 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Computer TechnologyYeshwantrao Chavan College of EngineeringNagpurIndia
  2. 2.CSE Dept.G. H. Raisoni College of EngineeringNagpurIndia
  3. 3.Computer Science and EngineeringVisvesvaraya National Institute of TechnologyNagpurIndia

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