Challenges of Big Data Section for Internet - MyAssignmenthelp

Question: Discuss about theChallenges of Big Data Section for Internet. Answer: Summary with Recommendations for Business Owners Wanting to use Big Data The big data refers to the vast datasets analyzed computations for revealing trends, associations and patterns. This is done especially in inter-connection with human interactions and behaviors (Fan, Han and Liu 2014). The revolution of big data has evolved with the rise of Internet, smart-phones, wireless networks, social media and various other technologies. The Internet has been leading to the unlimited increase in amount of data, resulting in the challenge of big data. Here the business owners have to deal with large quantity of data relevant directly to human lives. Businesses discussing about the usage of big data generally acquire the resources for hiring research forms and the data scientists to work for them. The big data has been characterized by large dimensionality and huge sample size. The unique challenges regarding big data arise from these features. The large dimensionality brings accumulation of noise, incidental homogeneity and spurious correlations. This combined with huge sample size generates problems like heavy algorithmic instability and computational cost. The vast samples in bid data has been aggregated typically from numerous sources at various timings utilizing distinct technologies. This generates problems of experimental variations, statistical biases and heterogeneity. The business owners need to create more r obust and adaptive procedures (Jin et al. 2015). To enhance the strategy of big-data and maximize the business values from the enterprise data there are five recommendations done. The business owners should begin with the customer-centric outcomes. They must create a planning for their overall enterprise. They must begin with data which has been available already within the enterprise. Then should identify the business priorities and create the strategy over that. Lastly they should develop a business case on the basis of measurable outcomes. The above summary and the research around it have provided insights for the business relevant to deployment of big data. For using big data the solutions for the above challenges are to be made keeping the recommendations in mind. References: Fan, J., Han, F. and Liu, H., 2014. Challenges of big data analysis.National science review,1(2), pp.293-314. Jin, X., Wah, B.W., Cheng, X. and Wang, Y., 2015. Significance and challenges of big data research.Big Data Research,2(2), pp.59-64.