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

Select a big data hassle, evaluate what was discovered and explain how it supports the business including any challenges, oppor - Essay utilizationWith these units being used, people faced trouble to get part of the data or use it to develop a trend of details or occurrences in an milieu which can be used to ensure it becomes useful to its owner (Sathi, 2012, p4). Some of the organisations that use big data include meteorological organisations, biological and environmental look into complex physics simulations among others. These find it difficult to establish amicable to capture, store transmit and examine some of their data that are collected from different events and analyse them to have necessary deductions. Units for measuring the amounts of data have continued to be invented with time and they are moving from simple to extremely complex and large figures that contain large capacity to store. To understand the problem of big data, it is good to focus on the analysis of th e issues of data analysis as could be realised in different organisations within the world (OReilly Radar Team et al, 2012, p8). Big 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 paved way for terabyte, petabytes and the latest invention of the units of measuring stick of data is the Exabyte. ... The big data has not gone without considerable 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 ordering to expound the problems of big data, analysis of the same offers an insight into the difficulty of handling that kind of data and the risks th ereof. Why analysis of big data is a problem Analysis of big data is problematic because there are limited methods, 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 but the information is decentralized into a common place for effective analysis (Best, 2008, p63). How big data is analysed To enable 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