Taming velocity and variety simultaneously in big data with stream reasoning: tutorial

Emanuele Della Valle, Daniele Dell'Aglio, Alessandro Margara. Taming velocity and variety simultaneously in big data with stream reasoning: tutorial. In Avigdor Gal, Matthias Weidlich, Vana Kalogeraki, Nalini Venkasubramanian, editors, Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems, DEBS '16, Irvine, CA, USA, June 20 - 24, 2016. pages 394-401, ACM, 2016. [doi]

@inproceedings{ValleDM16,
  title = {Taming velocity and variety simultaneously in big data with stream reasoning: tutorial},
  author = {Emanuele Della Valle and Daniele Dell'Aglio and Alessandro Margara},
  year = {2016},
  doi = {10.1145/2933267.2933539},
  url = {http://doi.acm.org/10.1145/2933267.2933539},
  researchr = {https://researchr.org/publication/ValleDM16},
  cites = {0},
  citedby = {0},
  pages = {394-401},
  booktitle = {Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems, DEBS '16, Irvine, CA, USA, June 20 - 24, 2016},
  editor = {Avigdor Gal and Matthias Weidlich and Vana Kalogeraki and Nalini Venkasubramanian},
  publisher = {ACM},
  isbn = {978-1-4503-4021-2},
}