Impact of big data on data management functions Essay

Impact of big info on data management functions - Essay modellingDistinguishing characteristics of Big Data are its capabilities of circumnavigating data utilization and limitation issues. It deploys highly cohesive methods for data lyric and architecture. It also deploys dedicated and powerful processors just for data storage and retrieval functions. While normal take off of handling data sets varies from megabytes to gigabytes, Big Data can handle data sets varying in the swear of terabytes and pentabytes (Magoulas and Lorica 2009). However, functioning of Big Data at such an enormous scale of database management may nurture some unwanted impact. It often becomes highly difficult to detect privacy violations or flaws in data capturing methods while operating Big Data (Snijders, Matzat, and Reips 2012).The general paradigm of data management deals with traditionally obedient sizes of mostly similar datasets. For example, DAMAs Data Management Body of Knowledge or DAMA-DMBOK modelling serves as a popular functional paradigm for general data management. There are 10 primary functions in DAMA-DMBOK. According to the DAMA-DMBOK Guide (2010), these 10 functions areData Governance serves as the core function, which must be accomplished with the help of the other functions. The framework also explicitly defines all the stakeholders gnarly in database management and related utilities. (Earley 2011)Big Data has certain positive impacts on a trite database management framework like DAMA-DMBOK. Firstly, it helps in modifying the framework suitably for handling larger datasets. Secondly, it helps in maturation a stakeholder-independent database management framework. Thirdly, it helps in generating and storing enormous amounts of data for both storage and processing. (Magoulas and Lorica 2009)However, Big Data is believably to have a negative impact on certain DAMA-DMBOK functions such as Data credential Management and Data Quality Management. The