11 Feb Assignment Overview
Assignment Overview
The case for this module revolves around the question of large-scale data and the implications of database capabilities for organizational data management. As we’ve said, the change from data as a scarce resource to data as overabundance is still a major concern for organizations. Here, you’ll have a chance to consider the value of data and information. Data storage and management was seldom considered a particularly exciting topic; however, when data is used for making better decisions and/or enhancing organizational performance, it is amazing how quickly organizational (and personal) interest can be created.
The new state of having rather too much data to fit into the established databases is increasingly called “big data.” Big data arises from a combination of cheap storage, multiple data input streams, and a general sense that with all of this, there ought to be valuable data in there somewhere. Here are a couple of sources that begin to discuss these issues; you can undoubtedly find more:
Challenges and Opportunities with Big Data (2013).
Mehrotra, P., Pryor, L., Bailey, F. and Cotnoir, M. (2014). Supporting “Big Data” Analysis and Analytiics at the NSAS Supercomputing Facility. NAS Technical Report: NAS-2014-02.
Kaisler, S., Armour, F., Espinosa, J.A., and Money, W. (2013). Big data: Issues and challenge moving forward. 46th Hawaii International Conference on Systems Sciences, 1-10.
The trick to coping with “big data” is, of course, better data analytics — that is, that set of statistical mining, and related analytical tools that can be used to identify patterns in the data, assess a variety of associations, and generally illuminate the knowledge that might otherwise be buried in the mounds of numbers. Today, analytics is a rapidly expanding field.
Raghupathi, W. and Raghupathi, V. (2014). Big data anal
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