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You are viewing ARCHIVED CONTENT released online between 1 April 2010 and 24 August 2018 or content that has been selectively archived and is no longer active. Content in this archive is NOT UPDATED, and links may not function.By Jelani Harper
Initially, Master Data Management (MDM) systems and the content they contain may seem counterintuitive or even diametrically opposed to Big Data systems. Some of the considerable differences between Master Data and Big Data include:
- Volume: Comparatively, Master Data sets are much smaller than those for Big Data. One of the pivotal attractions for Big Data is that it encompasses enormous volumes; a person could argue that one of the points of attraction for Master Data is the opposite.
- Structure: Master Data tends to contain structured data, while the majority of Big Data is either unstructured or semi-structured.
- Relationship to the enterprise: Typically, MDM systems contain an organization’s most trusted data, which tends to be internal, while Big Data platforms quarter enormous amounts of external data from any number of cloud, social media, mobile, and other sources beyond the enterprise’s firewall. As indicated by Gartner, “MDM is more oriented around internal, enterprise-centric data; in an environment the organization feels it has a chance to effect change, and so formal information governance.”
Despite these differences, there are numerous ways in which Master Data Management can enhance Big Data applications,
Read the complete article at: Expanding Master Data Management with Big Data