Impact of big data on data management functions Essay

Impact of big data on data management functions - Essay Example Distinguishing characteristics of Big Data are its capabilities of circumnavigating data utilization and limitation issues. It deploys highly cohesive methods for data nomenclature and architecture. It also deploys dedicated and powerful processors just for data storage and retrieval functions. While normal range of handling data sets varies from megabytes to gigabytes, Big Data can handle data sets varying in the range of terabytes and pentabytes (Magoulas and Lorica 2009). However, functioning of Big Data at such an enormous scale of database management may have 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 manageable sizes of mostly similar datasets. For example, DAMA’s Data Management Body of Knowledge or DAMA-DMBOK framework 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 are: Data 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 involved in database management and related utilities. (Earley 2011) Big Data has certain positive impacts on a standard database management framework like DAMA-DMBOK. Firstly, it helps in modifying the framework suitably for handling larger datasets. Secondly, it helps in developing 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 likely to have a negative impact on certain DAMA-DMBOK functions such as Data Security Management and Data Quality Management. The