Bibtex de la publication

@InProceedings{ Ch2016.9,
author = {Chevalier, Max and El Malki, Mohammed and Kopliku, Arlind and Teste, Olivier and Tournier, Ronan},
title = "{Document-oriented data warehouses: models and extended cuboids (regular paper)}",
booktitle = "{IEEE International Conference on Research Challenges in Information Science (IEEE RCIS 2016), Grenoble, France, 01/05/16-03/05/16}",
year = {2016},
publisher = {IEEE},
address = {},
pages = {1--11},
language = {anglais},
URL = {},
keywords = {NoSQL, document-oriented system, big data, data warehouse, OLAP cuboid},
abstract = {Within the Big Data trend, there is an increasing interest in Not-only-SQL systems (NoSQL). These systems are promising candidates for implementing data warehouses particularly due to the data structuration/storage possibilities they offer. In this paper, we investigate data warehouse instantiation using a document-oriented system (a special class of NoSQL systems). On the one hand, we analyze several issues including modeling, querying, loading data and OLAP cuboids. We compare document-oriented models (with and without normalization) to analogous relational database models. On the other hand, we suggest improvements in order to benefit from document-oriented features. We focus particularly on extended versions of OLAP cuboids that exploit nesting and arrays. They are shown to work better on workloads with drill-down queries.}