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Return to OLAP rather than on random access structures for inter-row calculations. This has created a gap that has been filled by spreadsheets and specialized MOLAP engines, which are good at formulas for mathematical modeling but lack the formalism of the relational model, are difficult to manage, and exhibit scalability problems. This paper presents SQL extensions involving array based calculations for complex modeling. In addition, we present optimizations, access structures and execution models for processing them efficiently. @inproceedings {DBLP:conf/sigmod/WitkowskiBBDFGSS03, author = {Andrew Witkowski and Srikanth Bellamkonda and Tolga Bozkaya and Gregory Dorman and Nathan Folkert and Abhinav Gupta and Lei Sheng and Sankar Subramanian}, booktitle = {SIGMOD Conference}, title = {Spreadsheets in RDBMS for OLAP.}, pages = {52-63}, year = {2003}, url = {db/conf/sigmod/sigmod2003.html#WitkowskiBBDFGSS03}, ee = {http://www.acm.org/sigmod/sigmod03/eproceedings/papers/r03p01.pdf}, crossref = {conf/sigmod/2003}, bibsource = {DBLP, http://dblp.uni-trier.de} } ![]() ©2004 Association for Computing Machinery |