An Architecture for Efficient Integration and Harmonization of Heterogeneous, Distributed Data Sources Enabling Big Data Analytics

Andreas Kirmse, Vadim Kraus, Max Hoffmann 0002, Tobias Meisen. An Architecture for Efficient Integration and Harmonization of Heterogeneous, Distributed Data Sources Enabling Big Data Analytics. In Slimane Hammoudi, Michal Smialek, Olivier Camp, Joaquim Filipe, editors, Proceedings of the 20th International Conference on Enterprise Information Systems, ICEIS 2018, Funchal, Madeira, Portugal, March 21-24, 2018, Volume 1. pages 175-182, SciTePress, 2018. [doi]

@inproceedings{KirmseK0M18,
  title = {An Architecture for Efficient Integration and Harmonization of Heterogeneous, Distributed Data Sources Enabling Big Data Analytics},
  author = {Andreas Kirmse and Vadim Kraus and Max Hoffmann 0002 and Tobias Meisen},
  year = {2018},
  doi = {10.5220/0006776701750182},
  url = {https://doi.org/10.5220/0006776701750182},
  researchr = {https://researchr.org/publication/KirmseK0M18},
  cites = {0},
  citedby = {0},
  pages = {175-182},
  booktitle = {Proceedings of the 20th International Conference on Enterprise Information Systems, ICEIS 2018, Funchal, Madeira, Portugal, March 21-24, 2018, Volume 1},
  editor = {Slimane Hammoudi and Michal Smialek and Olivier Camp and Joaquim Filipe},
  publisher = {SciTePress},
  isbn = {978-989-758-298-1},
}