Digital Symposium Collection 2000

Curio: A Novel Solution for Efficient Storage and Indexing in Data Warehouses Anindya Datta, Krithi Ramamritham, and Helen M. Thomas   View Paper (PDF)     View Demo (HTML)   Return to Demonstrations Abstract Data warehousing and On-Line Analytical Processing (OLAP) are becoming critical components of decision support as advances in technology are improving the ability to manage and retrieve large volumes of data. Data warehousing refers to ``a collection of decision support technologies aimed at enabling the knowledge worker (executive, manager, analyst) to make better and faster decisions'' [1]. OLAP refers to the technique of performing complex analysis over the information stored in a data warehouse. It is often used by management analysts and decision makers in a variety of functional areas such as sales and marketing planning. Typically, OLAP queries look for specific trends and anomalies in the base information by aggregating, ranging, filtering and grouping data in many different ways [8]. Efficient query processing is a critical requirement for OLAP because the underlying data warehouse is very large, queries are often quite complex, and decision support applications typically require interactive response times. References Note: References link to DBLP on the Web. [1] Surajit Chaudhuri , Umeshwar Dayal : An Overview of Data Warehousing and OLAP Technology. SIGMOD Record 26(1) : 65-74(1997) [2] ... [3] Venky Harinarayan , Anand Rajaraman , Jeffrey D. Ullman : Implementing Data Cubes Efficiently. SIGMOD Conf. 1996 : 205-216 [4] ... [5] Ralph Kimball : The Data Warehouse Toolkit: Practical Techniques for Building Dimensional Data Warehouses. John Wiley 1996, ISBN 0-471-15337-0 [6] ... [7] Patrick E. O'Neil : Model 204 Architecture and Performance. HPTS 1987 : 40-59 [8] Patrick E. O'Neil , Dallan Quass : Improved Query Performance with Variant Indexes. SIGMOD Conference 1997 : 38-49 [9] ... [10] ... [11] ... BIBTEX @inproceedings{DBLP:conf/vldb/DattaRT99,   author    = {Anindya Datta and                 Krithi Ramamritham and                 Helen M. Thomas},    editor    = {Malcolm P. Atkinson and                 Maria E. Orlowska and                 Patrick Valduriez and                 Stanley B. Zdonik and                 Michael L. Brodie},    title     = {Curio: A Novel Solution for Efficient Storage and Indexing in                 Data Warehouses},    booktitle = {VLDB'99, Proceedings of 25th International Conference on Very                 Large Data Bases, September 7-10, 1999, Edinburgh, Scotland,                 UK},    publisher = {Morgan Kaufmann},    year      = {1999},    isbn      = {1-55860-615-5},    pages     = {730-733},    crossref  = {DBLP:conf/vldb/99},    bibsource = {DBLP, http://dblp.uni-trier.de} } }, Copyright(C) 2000 ACM