, Or, comme le traitement peut évoluer, il devient difficile d'avoir une implantation capable de supporter tous les traitements, en l'occurrence, des cuboïdes supportant toutes requêtes. Nous envisageons donc de définir dés règles de conversions qui permettent, en fonction de l'évolution des traitements, de passer d'un cuboïde à l'autre. Nous réfléchissons également à la mise en place d'une plateforme supportant plusieurs cuboïdes mais aussi plusieurs systèmes NoSQL. De cette façon, nous pouvons utiliser le meilleur système NoSQL au traitement envisagé, Plusieurs perspectives sont envisagées. Dans les systèmes NoSQL, le choix de l'implantation est plutôt déterminé en fonction du traitement à effectuer

B. Abadi, D. J. Myers, D. S. Dewitt, D. J. Madden, and S. R. , Materialization strategies in a columnoriented DBMS, IEEE 23rd ICDE, pp.466-475, 2007.

A. Abdullah and Q. Zhuge, Research article from relational databases to NoSQL databases: Document téléchargé depuis www.cairn, IEEE, vol.13, pp.1665-1671, 2015.

K. S. Beyer, D. D. Chamberlin, L. S. Colby, F. Ozcan, H. Pira-hesh et al., Extending XQuery for analytics, 24th ACM SIGMOD International conference on management of data (SIGMOD 05), pp.503-514, 2005.

A. Bosworth, J. Gray, A. Layman, and H. Pirahesh, Data cube: a relational aggregation operator generalizing group-by, cross-tab, and sub-totals, vol.52, pp.36-44, 2009.

S. Chickerur, A. Goudar, and A. Kinnerkar, Comparison of relational database with documentoriented database (MongoDB) for big data applications, 8th (ASEA), pp.41-47, 2015.

R. Cattell, Scalable SQL and NoSQL data stores, SIGMOD record. ACM, vol.39, issue.4, pp.12-27, 2011.

S. Chaudhuri and U. Dayal, An overview of data warehousing and OLAP technology, SIGMOD record. ACM, vol.26, issue.1, pp.65-74, 1997.

M. Chevalier, M. El-malki, A. Kopliku, O. Teste, and R. Tournier, Implementation of multidimensional databases in column-oriented NoSQL systems, 19th East European conference advances in databases and information systems (ADBIS) 2015, vol.9282, pp.79-91, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01363342

M. Chevalier, M. El-malki, A. Kopliku, O. Teste, and R. Tournier, Benchmark for OLAP on NoSQL technologies, 9th IEEE International conference on research challenges in information science (RCIS), pp.480-485, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01375413

M. Chevalier, M. El-malki, A. Kopliku, O. Teste, and R. Tournier, Not Only SQL Implementation of multidimensional database (regular paper), International Conference on Big Data Analytics and Knowledge Discovery, pp.379-390, 2004.

G. Colliat, OLAP, relational, and multidimensional database systems, SIGMOD Record. ACM, vol.25, issue.3, pp.64-69, 1996.

A. Cuzzocrea, L. Bellatreche, and I. Y. Song, Data warehousing and OLAP over big data: current challenges and future research directions. DOLAPACM, pp.67-70, 2013.

D. E. Govindaraju, M. Gunter, D. Canon, R. S. Ramakrishnan, and L. , Performance evaluation of a mongodb and hadoop platform for scientific data analysis. 4th ACM workshop on scientific cloud computing (Cloud), pp.13-20, 2013.

K. Dehdouh, O. Boussaid, and F. Bentayeb, Columnar NoSQL star schema benchmark. Model and data engineering, LNCS, vol.8748, pp.281-288, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01492733

J. Dean and S. Ghemawat, MapReduce: a flexible data processing tool, Commun. ACM, vol.53, issue.1, pp.72-77, 2010.

A. Dey, A. Fekete, and R. Uwe, Scalable transactions across heterogeneous NoSQL Key-value data stores, Proc VLDB Endow, vol.6, pp.1434-1439, 2013.

L. D'orazio and S. Bimonte, Multidimensional arrays for warehousing data on clouds, Proceedings of the Third International Conference on Data Management in Grid and Peerto-peer Systems. Globe'10, pp.26-37, 2010.

, Journal of Cooperative Information Systems, vol.7, issue.2, pp.215-247

M. Hachicha and J. Darmont, Problèmes d'additivité dus à la présence de hiérarchies complexes dans les modèles multidimensionnels : définitions, solutions et travaux futurs, 9e journées francophones sur les Entrepôts de données et l'analyse en ligne, pp.7-16, 2013.

F. M. Jiang, J. Pei, and A. W. Fu, Ix-cubes: iceberg cubes for data warehousing and olap on xml data.Conf. on CIKM, ACM, pp.905-908, 2007.

T. Hsu, D. Chang, and H. Lee, The study of application and evaluation with NoSQL databases in cloud computing. Trustworthy systems and their applications (TSA), pp.57-62, 2014.

A. Jacobs, The pathologies of big data, Communications of the ACM, vol.52, issue.8, pp.36-44, 2009.

M. R. Jensen, T. H. Møller, and T. B. Pedersen, Specifying OLAP cubes on XML data, Journal of Intelligent Information Systems, vol.17, issue.2-3, pp.255-280, 2001.

A. Kanade, A. Gopal, and S. Kanade, A study of normalization and embedding in MongoDB, IEEE Int. Advance Computing Conf. (IACC), pp.416-421, 2014.

R. Kimball and M. Ross, The data warehouse toolkit: the definitive guide to dimensional modeling, 2013.

C. Kit, A study on OLAP analysis in XML databases, thèse de doctorat, 2010.

C. Lee and Y. Zheng, SQL-to-NoSQL schema denormalization and migration: a study on content management systems (SMC), IEEE International conference on IEEE, pp.2022-2026, 2015.

H. Mahboubi, J. C. Ralaivao, S. Loudcher, O. Boussaid, F. Bentayeb et al., , 2009.

. X-wacoda, Data warehousing design and advanced engineering applications: methods for complex construction, an XML-based approach for warehousing and analyzing complex data. In: Bellatreche L, pp.38-54

M. J. Mior, Automated schema design for NoSQL databases, Proceedings of the 2014 SIGMOD PhD symposium (SIGMOD'14 PhD Symposium, 2014.

K. Morfonios, S. Konakas, Y. Ioannidis, and N. Kotsis, ROLAP implementations of the data cube, ACM Comput. Surv, vol.39, 2007.

A. Nayak, A. Poriya, and D. Poojary, Type of NOSQL databases and its comparison with relational databases (IJAIS). Foundation of Computer Science FCS, vol.5, p.4, 2013.

A. Floratou, N. Teletia, D. Dewitt, J. Patel, and D. Zhang, Can the elephants handle the NoSQL onslaught?, Int. Conf. on VLDB, pVLDB, vol.5, pp.1712-1723, 2012.

M. Fotache and D. Cogean, NoSQL and SQL databases for mobile applications. case study: Mongodb versus postgresql, Informatica Economica, vol.17, issue.2, p.41, 2013.

M. Golfarelli, D. Maio, S. Rizzi, T. ;-©-lavoisier-niemi, M. Niinimaki et al., The dimensional fact model: a conceptual model for data Document téléchargé depuis www.cairn, 5th ACM international workshop (DOLAP '02), pp.22-27, 1998.

P. Oneil, E. Oneil, X. Chen, and S. Revilak, The Star Schema Benchmark and augmented fact table indexing, LNCS, vol.5895, pp.237-252, 2009.

B. K. Park, H. Han, and I. Y. Song, XML-OLAP:a multidimensional analysis framework for XML warehouses, 7th International Conference on (DaWaK 05), vol.3589, pp.32-42, 2005.

Z. Parker, S. Poe, and S. V. Vrbsky, Comparing NoSQL MongoDB to an SQL DB, Proceedings of the 51st ACM Southeast Conference (ACMSE '13), vol.6, p.p, 2013.

A. Pavlo, E. Paulson, A. Rasin, D. J. Abadi, D. J. Dewitt et al., A comparison of approaches to large-scale data analysis.Int. Conf. on Management of data (SIGMOD), pp.165-178, 2009.

T. B. Pedersen, C. S. Jensen, and C. E. Dyreson, Extending practical pre-aggregation in on-line analytical processing. VLDB'99, pp.663-674, 1999.

T. B. Pedersen, Achieving adaptivity for OLAP-XML federations, 6th International ACM Workshop on Data Warehousing and OLAP (DOLAP 03), pp.25-32, 2003.

F. Ravat, O. Teste, and G. Zurfluh, Langage pour bases multidimensionnelles : OLAP-SQL. Ingénierie des Systèmes d'Information, vol.7, pp.11-38, 2002.

F. Ravat, O. Teste, R. Tournier, and G. Zurfluh, Graphical querying of multidimensional databases, 11th East European Conference Advances in Databases and Information Systems (ADBIS), vol.4690, pp.298-313, 2007.

A. Schindler, I/O characteristics of NoSQL databases, Int. Conf. on Very Large Data Bases (VLDB), pVLDB, vol.5, pp.2020-2021, 2012.

A. Schram and K. M. Anderson, MySQL to NoSQL: data modeling challenges in supporting scalability, Proceedings of the 3rd annual conference (SPLASH '12), pp.191-202, 2012.

J. Shute, R. Vingralek, B. Samwel, B. Handy, C. Whipkey et al., F1: a distributed SQL database that scales. Int. Conf. On VLDB, vol.6, pp.1068-1079, 2013.

A. Simitsis, P. Vassiliadis, and T. Sellis, Optimizing etl processes in data warehouses, Data Engineering. ICDE, pp.564-575, 2005.

M. Stonebraker, S. Madden, D. J. Abadi, S. Harizopoulos, N. Hachem et al., The eof an architectural era: (it's time for a complete rewrite, pp.1150-1160, 2007.

M. Stonebraker, New opportunities for new SQL, Communications of the ACM, vol.55, p.11, 2012.

, Towards conceptual multidimensional design in decision support systems, vol.13, p.5, 2001.

, East-European conference on advances in databases and information systems (ADBIS), vol.1, pp.77-88

D. Tahara, T. Diamond, and D. J. Abadi, Sinew: a SQL system for multi-structured data, Int. Conf. on Management of data (SIGMOD), pp.815-826, 2014.

T. Vajk, P. Feher, K. Fekete, and H. Charaf, Denormalizing data into schema-free databases, 4th Int. Conf. on Cognitive Infocommunications (CogInfoCom), pp.747-752, 2013.

H. Wang, J. Li, Z. He, and H. Gao, OLAP for X ML data, 1st International Conference (CIT 2005), pp.233-237, 2005.

P. Zhao, X. Li, D. Xin, and J. Han, Graph cube: on warehousing and OLAP multidimensional networks, pp.853-864, 2011.

H. Zhao and X. Ye, A practice of TPC-DS multidimensional implementation on NoSQL database systems. Performance characterization and benchmarking, LNCS, vol.8391, pp.93-108, 2014.