I. Basaille, S. Kirgizov, É. Leclercq, M. Savonnet, N. Cullot et al., Un observatoire pour la modélisation et l'analyse des réseaux multi-relationnels, Document numérique, vol.20, issue.1, pp.101-135, 2017.

M. Feick, N. Kleer, and M. Kohn, Fundamentals of Real-Time Data Processing Architectures Lambda and Kappa, Lecture Notes In Informatics (LNI), pp.1-12, 2018.

R. C. Fernandez, P. R. Pietzuch, J. Kreps, N. Narkhede, J. Rao et al., Liquid: Unifying Nearline and Offline Big Data Integration, Conference on Innovative Data System Research (CIDR'15), 2015.

J. Gama, A survey on learning from data streams: current and future trends, Progress in Artificial Intelligence, vol.1, issue.1, pp.45-55, 2012.

A. Gandomi and M. Haider, Beyond the hype: Big Data concepts, methods, and analytics, International Journal of Information Management, vol.35, issue.2, pp.137-144, 2015.

K. Kambatla, G. Kollias, V. Kumar, and A. Grama, Trends in Big Data Analytics, Journal of Parallel and Distributed Computing, vol.74, issue.7, pp.2561-2573, 2014.

M. Kiran, P. Murphy, I. Monga, J. Dugan, and S. S. Baveja, Lambda architecture for costeffective batch and speed big data processing, IEEE International Conference on Big Data, pp.2785-2792, 2015.

J. Kreps, Questioning the Lambda Architecture. O'Reilly RADAR,online article, 2014.

É. Leclercq and M. Savonnet, A tensor based data model for polystore: An application to social networks data, Proceedings of the 22nd International Database Engineering & Applications Symposium (IDEAS), pp.110-118, 2018.

C. Lee and C. Lin, Implementation of Lambda Architecture: A Restaurant Recommender System over Apache Mesos, IEEE 31st International Conference on Advanced Information Networking and Applications (AINA), pp.979-985, 2017.

J. Lin, The Lambda and the Kappa, IEEE Internet Computing, vol.21, issue.5, pp.60-66, 2017.

N. Marz, How to beat the cap theorem, Consulté sur, 2011.

N. Marz and J. Warren, Big Data: Principles and best practices of scalable real-time data systems, 2015.

A. Mcgregor, Graph stream algorithms: a survey, ACM SIGMOD Record, vol.43, issue.1, pp.9-20, 2014.

J. Meehan, S. Zdonik, S. Tian, Y. Tian, N. Tatbul et al., Integrating real-time and batch processing in a polystore, High performance extreme computing conference (hpec), pp.1-7, 2016.

G. Mishne, J. Dalton, Z. Li, A. Sharma, and J. Lin, Fast data in the era of big data: Twitter's real-time related query suggestion architecture, Proceedings of the 2013 acm sigmod international conference on management of data, pp.1147-1158, 2013.

A. A. Munshi, Y. A. Mohamed, and . I. -r, Data lake lambda architecture for smart grids big data analytics, IEEE Access, vol.6, pp.40463-40471, 2018.

S. A. Noghabi, K. Paramasivam, Y. Pan, N. Ramesh, J. Bringhurst et al., Samza: stateful scalable stream processing at linkedin. VLDB Endowment, vol.10, pp.1634-1645, 2017.

G. Pal, G. Li, and K. Atkinson, Multi-agent big-data lambda architecture model for ecommerce analytics. Data, vol.3, p.58, 2018.

J. A. Silva, E. R. Faria, R. C. Barros, E. R. Hruschka, D. Carvalho et al., Data stream clustering: A survey, ACM Computing Surveys (CSUR), vol.46, issue.1, p.13, 2013.

D. Singh and C. K. Reddy, A survey on platforms for big data analytics, Journal of big data, vol.2, issue.1, p.8, 2015.

F. Yang, G. Merlino, N. Ray, X. Léauté, H. Gupta et al., The RADStack: Open source lambda architecture for interactive analytics, Proceedings of the 50th hawaii international conference on system sciences, 2017.