Founded in 2004 we're a not-for-profit organization promoting open knowledge: that's any kind of information – sonnets to statistics, genes to geodata – that can be freely used, reused, and redistributed.
This course is about scalable approaches to processing large amounts of information (terabytes and even petabytes). We focus mostly on MapReduce, which is presently the most accessible and practical means of computing at this scale, but will discuss other approaches as well.
IB, a quarterly journal, is dedicated to the latest advancement of Internet and Business, and the intersection of Economics with business applications. The goal of this journal is to publish cutting edge research and promote the research work in these fast moving areas. All manuscripts submitted to IB must be previously unpublished and may not be considered for publication elsewhere at any time during IB's review period.
O. Hassan, O. Aderibigbe, O. Efijemue, und T. Onasanya. Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, Seite 906--908. New York, NY, USA, ACM, (2024)
S. Farhat, L. Tubati, M. Osiemo, und R. Dave. JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20 - 24, 2022, Seite 34. ACM, (2024)