Select a big data problem, evaluate what was discovered and explain Essay

Select a life-size info problem, evaluate what was discovered and explain how it supports the business including whatsoever challenges, oppor - Essay ExampleWith these units creation used, people faced trouble to get part of the information or use it to develop a trend of events or occurrences in an environment which can be used to ensure it becomes useful to its proprietor (Sathi, 2012, p4). Some of the organisations that use big info include meteorological organisations, biological and environmental research colonial physics simulations among others. These find it difficult to establish amicable to capture, stock certificate transmit and analyse some of their data that ar collected from different events and analyse them to have necessary deductions. Units for measuring the amounts of data have go on to be invented with time and they are moving from simple to extremely complex and large-scale figures that require large capacity to store. To understand the problem of big d ata, it is good to focus on the abridgment of the issues of data compend as could be realised in different organisations within the world (OReilly Radar Team et al, 2012, p8). declamatory data problem causes and exposition In the past, people used to measure data in megabytes and in those times, 100 megabytes of data were considered a very large. With time, there data increased and gigabytes were used to measure data, this surface way for terabyte, petabytes and the latest invention of the units of measurement of data is the Exabyte. ... The big data has non gone without colossal problems in the way it ought to be handled and processed to explain phenomenon and trends in business or in any other organisation. Some problems experienced in handling big data include collecting, processing, analysing and storing of the meaningful data for future use (Ohlhorst, 2013, p11). However, in order to expound the problems of big data, analysis of the same offers an insight into the troubl e of handling that kind of data and the risks thereof. Why analysis of big data is a problem epitome of big data is problematic because there are limited systems, which can be used to store large amount of data in the same place and process desirable results using it. For this reason, analysis is one of the problems of big data in that it is difficult to combine the different bits that are making the big data. As a result, analysis of such data of great magnitude becomes difficult because there are few devices that accommodate data to a certain capacity and is type. It is tasking to engage in analysing big data because in their unstructured form, they indicate that people have taken part in an event plainly the information is decentralized into a common place for effective analysis (Best, 2008, p63). How big data is analysed To change ease of analysis, scientist start by classifying the data into groups and categories, this can be easily analysed to give the required information . The method of analysing big data by structuring is a scientific invention that is designed to ensure that organisations do not have to delete their data from their database. Companies categorise their information into clusters that are representing data for