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 All manuscripts submitted to IB must be previously unpublished and may not be considered for publication elsewhere at any time during IB's review period.
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.
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.
In the book The Art of War for Executives, Donald G. Krause interprets the following: “Sun Tsu notes, superior commanders succeed in situations where ordinary people fail because they obtain more timely information and use it more quickly.” For metadata professionals, this observation is increasingly relevant as more and more of the business seeks integration and federation, alignment with business goals and strategies, and agility - the ability to respond both quickly and accurately to change. Industry analysts and IT professionals are less focused on solutions to problems where metadata management plays a role but rather look more to metadata management as an overall strategy for the benefits it provides to multiple aspects of the whole organization.
Data presentation can be beautiful, elegant and descriptive. There is a variety of conventional ways to visualize data - tables, histograms, pie charts and bar graphs are being used every day, in every project and on every possible occasion. However, to convey a message to your readers effectively, sometimes you need more than just a simple pie chart of your results. In fact, there are much better, profound, creative and absolutely fascinating ways to visualize data. Many of them might become ubiquitous in the next few years.
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)
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)