Big Data Analisis. Big Data Analytics largely involves collecting data from different sources munge it in a way that it becomes available to be consumed by analysts and finally deliver data products useful to the organization business.
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Big data analytics is the use of advanced analytic techniques against very large diverse big data sets that include structured semistructured and unstructured data from different sources and in different sizes from terabytes to zettabytes.
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DescriptionCareer OpportunitiesProgram Learning OutcomesAdmission RequirementsAdditional InformationGraduation WindowBig Data allows users to visualize past present and future patterns by linking and presenting information in meaningful ways Data Analytics offers deeper insight into the meaning of data sets by telling the story behind the information This enables stakeholders to make more informed decisions predict trends and better understand the needs and sentiments of customer.
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Examples of uses of big data in public services Data on prescription drugs by connecting origin location and the time of each prescription a research unit was able Joining up data a local authority blended data about services such as road gritting rotas with services for people at.
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Big data analytics examines large amounts of data to uncover hidden patterns correlations and other insights With today’s technology it’s possible to analyze your data and get answers from it almost immediately – an effort that’s slower and less efficient with more traditional business intelligence solutions History Today’s World Who Uses It.
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Big data analytics is the use of advanced analytic techniques against very large diverse data sets that include structured semistructured and unstructured data from different sources and in different sizes from terabytes to zettabytes.
