Abstract
Spreadsheets such as Microsoft Excel are OLAP(On-Line Analytical Processing) [2] applications to easily analyze complex multidimensional data. In general, spreadsheets provide grid-like graphical interfaces together with various chart tools [4,5]. However, previous work on OLAP spreadsheets adopts a naive approach that directly retrieves, transmits, and presents all the resulting data at once. Thus, it is difficult to use the previous work for very large relational tables with millions of rows or columns due to the communication and space overhead.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Agrawal, R., et al.: Storage and Querying of E-Commerce Data. In: Proc. the 27th Int’l Conf. on Very Large Data Base, Roma, Italy, pp. 149–158 (September 2001)
Chaudhuri, S., Dayal, U.: An Overview of Data Warehousing and OLAP Technology. SIGMOD Record 26(1), 65–74 (1997)
Microsoft SQL Server (2005), http://www.microsoft.com/sql/
Raman, V., et al.: Scalable Spreadsheets for Interactive Data Analysis. In: Proc. ACM SIGMOD Workshop on DMKD, Philadelphia (May 1999)
Witkowski, A., et al.: Spreadsheets in RDBMS for OLAP. In: Proc. Int’l Conf. on Management of Data. In: ACM SIGMOD, San Diego, California, pp. 52–63 (June 2003)
Witkowski, A., et al.: Query By Excel. In: Proc. the 31st Int’l Conf. on Very Large Data Bases, Trondheim, Norway, pp. 1204–1215 (September 2005)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shin, SH., Choi, HY., Kim, J., Moon, YS., Kim, SW. (2007). An Efficient Sheet Partition Technique for Very Large Relational Tables in OLAP. In: Cooper, R., Kennedy, J. (eds) Data Management. Data, Data Everywhere. BNCOD 2007. Lecture Notes in Computer Science, vol 4587. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73390-4_19
Download citation
DOI: https://doi.org/10.1007/978-3-540-73390-4_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73389-8
Online ISBN: 978-3-540-73390-4
eBook Packages: Computer ScienceComputer Science (R0)