Tuesday, April 23, 2019
Big Data Coursework Example | Topics and Well Written Essays - 2500 words
Big Data - Coursework ExampleManagers should take the advantage of  giant data to  mend services in their organizations. Big data can be used in all  counseling functions from administration, marketing and finance. It acts as an information store in which data is stored over a long  consummation and can be easily retrieved if need be (Baesens, 2014).Big data has five factors that determine is  availability and usefulness, the five factors are volume, velocity,  concoction, variability and flexibility. Big data uses all these aspects for it to be reliable and easily  favorable by businesses and individuals. For volume,  life-size data is in very large volumes mostly in terabytes. Increase in data volume is due to many factors including data that is from the daily transactions stored for a long  finish of time and over the years. Unstructured data from internet platforms like the social media and virtual interaction sites and increase use of sensor machines in most organizations and th   e machine-to-machine information sharing data that collected over the years. The  endeavor of relevance of the large data volumes, which sometimes may be irrelevant, is an emerging issue with the increasing  retentiveness costs. Businesses use some analytics to create usefulness from relevant data and discard the irrelevant data to  push down storage costs (Chamber, Dhiraj & Minelli, 2012).Variety means that big data  cause in various forms and styles. The variations come by because of the different sources that the big data comes from. This ranges from information originating from the side of business applications, information and data from  tralatitious databases, unstructured data from informal communications like text messages. With such a large variety of source s of data and streaming in on daily basis, management and governance of big data is a technical issue that many organizations are finding it hard to stabilize. Most of the big data is not necessarily useful to the   
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