Managing big data integrity
Big data becomes a real opportunity and a serious worry for data managers, data scientists, researchers and even for business managers. An opportunity as a set of powerful technologies and a bunch of interesting concepts that aim resolving business problems of an organization. A worry because big data implies big challenges and big resources that make harder the task of mining value from all the available data. The data, even in context of big data, need to have a value to help on making good business decisions. In fact, sound decision requires confidence on data that must draw the real world, at any stage of data processing. In other words, the data have to keep their integrity properties from origination until the final destination in analysis reports or in a business indicator. In this paper, we will throw light on integrity issues for big data and we introduce a new model about how preserving integrity in the context of big data.
2016 International Conference on Engineering MIS (ICEMIS)