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Precomputing Shell Fragments for OLAP using Inverted Index Data Structure

D. Datta1 , A. Koley2 , A. Sarkar3 , S. Chatterjee4

  1. Department of Computer Science, St. Xavier’s College, Kolkata, India.
  2. Department of Computer Science, Banaras Hindu University, Varanasi, India.
  3. Deloitte Consulting US-India Pvt. Ltd, Hyderabad, India.
  4. Deloitte Consulting US-India Pvt. Ltd, Hyderabad, India.

Correspondence should be addressed to: debabrata.datta@sxccal.edu.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-1 , Page no. 24-30, Jan-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i1.2430

Online published on Jan 31, 2018

Copyright © D. Datta, A. Koley, A. Sarkar, S. Chatterjee . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: D. Datta, A. Koley, A. Sarkar, S. Chatterjee, “Precomputing Shell Fragments for OLAP using Inverted Index Data Structure,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.1, pp.24-30, 2018.

MLA Style Citation: D. Datta, A. Koley, A. Sarkar, S. Chatterjee "Precomputing Shell Fragments for OLAP using Inverted Index Data Structure." International Journal of Computer Sciences and Engineering 6.1 (2018): 24-30.

APA Style Citation: D. Datta, A. Koley, A. Sarkar, S. Chatterjee, (2018). Precomputing Shell Fragments for OLAP using Inverted Index Data Structure. International Journal of Computer Sciences and Engineering, 6(1), 24-30.

BibTex Style Citation:
@article{Datta_2018,
author = {D. Datta, A. Koley, A. Sarkar, S. Chatterjee},
title = {Precomputing Shell Fragments for OLAP using Inverted Index Data Structure},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2018},
volume = {6},
Issue = {1},
month = {1},
year = {2018},
issn = {2347-2693},
pages = {24-30},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1628},
doi = {https://doi.org/10.26438/ijcse/v6i1.2430}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i1.2430}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1628
TI - Precomputing Shell Fragments for OLAP using Inverted Index Data Structure
T2 - International Journal of Computer Sciences and Engineering
AU - D. Datta, A. Koley, A. Sarkar, S. Chatterjee
PY - 2018
DA - 2018/01/31
PB - IJCSE, Indore, INDIA
SP - 24-30
IS - 1
VL - 6
SN - 2347-2693
ER -

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Abstract

Efficient methods to generate data cubes for On-Line Analytical Processing or OLAP are required for query processing and data analysis. OLAP involves multidimensional analysis of data and as well as selectively extracting and viewing data from different perspectives or points of view. In OLAP, a complex query can lead to many scans of the base relational database, leading to poor performance. This research paper provides an algorithm for the data cube generation suitable for OLAP systems in a fast way. The OLAP cube structure, based on aggregation operations and capable of fast retrieval of data, is extensively explored. The inverted index data structure, which is a mapping from content to index of the said content in any indexed data storage system, is used as an efficient tool for shell fragment computation. A study of efficiency and trade-offs involved in terms of processing complexity and storage space when compared to full cube computation are also provided here.

Key-Words / Index Term

OLAP, data cube, cube shell, shell fragmentation, inverted index data structure, multidimensional analysis

References

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