Criticism for Big Data
There are two main criticisms for Big Data, one is on the way that people use Big Data, the remainder related to conducting information from Big Data that the world is doing.
A. Criticism about Big Data
Chris Anderson, a career and was also a writer of books, given that the use of Big Data always needs to be the context in the context of social, political and economic. For example, even when companies have invested billions of dollars into Big Data and obtain information about many things but only less than 40% of employees can truly understand and take advantage of this information. That reduces the effectiveness of the Big Data goes more than at first, leading to a waste of resources.
In addition, there is criticism that Big Data can only describe the world in the past by it based on the data that was born from the front, and if good then just described are in reality. The use of Big Data to talk about the future, you need to combine more with the model method, simulation, or the study of the movement of the new world put out accurate predictions are.
Besides, they also worry about the issue of user privacy. The collection of Big Data that may accompany the information likely format the users without their consent, and that violates the law in some countries. Many experts from many different fields are currently promoting the protection of privacy when using Big Data.
B. The criticism about the retrieved information from Big Data
Researcher Danah Boyd gave his concern that use of the Big Data in the selected sample statistics can cause the subjective, and though more or less then it can also influence the end result. The extraction of data from a number of sources is Big Data while the other source is not “big data” then set out the challenges when analyzing data.
The future of Big Data
Erik Swan, co-founder and Managing Director of the company’s technology Spunk, predicted that the change in Big Data is the attitude of people towards it. The consumption of a large amount of data will progressively more popular with everyone, from farmers who until the English civil engineer. People will default to using the data to analyze everything in the past 10 years. Of course, the technique and technology also need to grow under then this can become a reality.
Also according to Ankur Jain, founder, and CEO of Humin, context arising out of data will become more important. “We will start the route data into objects, things, events in real life and it helps us handle the job better”.
Meanwhile, Daniel Kaufman, Director of innovation about research agency in the U.s. Department of Defense is that biological data will increasingly be concerned over, and then people will use this data to give the advice has influenced the life and lifestyle of people. For example, you should add a dish of rice, slopes or should eat one more plate of chicken rice? DoD wants to use to think like (replace the rice with pizza, yes) to apply for his troops and they are tested on mice.
Swan Director is also thinking more that companies specializing in providing solutions to Big Data will no longer sell data and analysis for every business or individual company to serve those purposes too. Instead, they will expand it and apply the Big Data to solve the problems of life and respond to the basic needs of the people. That would be a change in the computer applications of Big Data.
In the future, we will continue to witness the growth of Big Data. Now you may well have heard of the concept of the Internet of Things, that is to bring the Internet to the things in daily life. Data from the Internet of Things is in fact also be collected from a network of many of the sensors and electronic devices, and it is also one of the sources of the Big Data. This huge amount of data possible for the researcher to know consumer behavior of customers, from which the refining equipment of the Internet of Things for a better fit, we serve our daily life in a more efficient way. It can also be used for the production, from which reduces the relevance of the human. As the words of Daniel Kaufman predicted “people will do less” thanks to Big Data.
Big Data is the challenge posed to organizations, enterprises in the era of today. Once mastered the big data then they will have the opportunity to succeed in today’s competitive context, then the world would benefit more from the extracted information in a more accurate way, more useful with lower costs. Still the criticism revolves around Big Data, however, this sector is still very new and let’s wait and see in the future is Big Data will evolve.