Analyzing Big Data Has Been Integrated Into Society

Every day, we produce 2.5 quintillion bytes of data. 90% of all data in the world was produced in the past two years. Data has been around forever; we have always gathered information. Paleolithic cavemen recorded their activities by carving them in stone or notching them in sticks. Egyptians used hieroglyphics to record significant events in history. The Library of Alexandria was home to half-a-million scrolls of the ancient world. Less than hundred years ago, we used punch cards to record and store information. As technology continues to evolve, the amount of data we store continues to grow. We’ve come a long way since stone tablets, scrolls, and punch cards. It’s important to understand the concept of big data and the impact is has created. This paper will define the classifications of data, explain the challenges of big data, and describe how big data analytics is being used in today’s data driven world.

Abstract- Big data is a hot research topic in today’s world. Data has become an indispensable part of every economy, industry, organization, business function and individual. With the fast growth now-a-days organizations has filled with the collection of millions of data with large number of combinations. This big data challenges over business problems. Big Data is a new term used to identify the datasets that due to their large size and complexity. Big Data mining is the capability of extracting useful information from these large datasets or streams of data, that due to its volume, variability, and velocity. We address broad issues related to big data and/or big data mining, and point out opportunities which help to reshape the subject area of today’s data mining technology toward solving tomorrow’s bigger challenges emerging in accordance with big data.

Big Data is one of the fastest growing fields in the world. Vast amounts of data are being produced by scientific researchers and social media users. Through the power of computing, humanity can analyze and gain useful information the mountains of data that have been collected. But are there any dangers? In their presentation Six Provocations for Big Data, Dana Boyd and Kate Crawford offer many logical and ethical challenges to the Big Data industry. The excerpt of this presentation in Everything’s an Argument contains two of the six claims in the full presentation. These two claims are that “automating research changes the definition of knowledge” and “just because it is accessible doesn’t make it ethical.” Boyd and Crawford, using ethos,

According to a research article 60% of college student feel very sad their first year of college leading to a higher risk of anxiety or depression (Eisenberg et. al, 2009). Big data helps address this public health concern because it allows to conduct qualitative and quantitative research to understand the risk factors as to why students have a higher risk for psychological distress. Researchers are able to utilized big data and compare it to other studies in order to create programs to help provide resources and the highest quality cared to those in need. Additionally, as stated by Khoury and Ioannidis (2014),helps provide insight of public health concerns and help people get more informed. Yet some may argue that big data my provide false alarms, or not be

The authors of [1] aim to dispel some of the current hype surrounding big data, mainly the misnomer that it is all about technology and the process is automated. In fact there are three critical elements requiring human expertise 1) the data must be the right kind, of sufficient quantity, and clean 2) a specific process must be followed for success starting with the identification of the objective 3) expert humans who know how to use the technology, execute the big data process, and perform the mining tasks which require significant mathematical calculations.

This excerpt of “Six Provocations for Big Data”, written by danah boyd and Kate Crawford, was a presentation on Big Data at Oxford University as part of a bigger convention. Big Data is mass produced information made possible by people, things and their interactions. Boyd and Crawford point out 6 backed-up claims on Big Data to prove that it’s weakening researchers’ understandings while also affecting the people that become a part of it. Crawford and boyd successfully conveyed through paragraph structure that “Big Data” can be used for research, but it’s use is unethical due to the unseen consequences that follow. The organization that these authors choose helped the reader focus on their point.

The fear of surviving in this ever demanding global economy and markets has led some firms and companies using analytics in an unethical way. One example is how IFA one of the largest sellers of life and health insurance in United States bought customer data from grocery chain from Shopsense supermarket in order to earn profits and have a competitive edge over its rivals. In response to this strategy adopted by IFA , George Jones, CEO of Borders Group commented that the data which is collected from Shopsense can be misleading as people shop for an entire family. It seems that he might not be consuming the food he has in his basket maybe it is for his kids, friends. He might be shopping for someone else. I think from customers

Big Data is not perfect at all. However, no theory can explain everything perfectly and no one knows why people do what they do. Most of the theories that we have talked about in class do not exist for reasoning but for finding average peoples’ behavior and patterns. It does not have to be true for all the people. If a buyers’ behavior theory can explain the 50% of the people’s behavior, it might be a great theory. If R square of an experimental behavior model is 0.5, it can be used as a reliable tool in order to predict customers’ behavior. Both theory and experiment are based on the simplified reality and many assumptions. Then, how about the data? The data itself is nothing, but after processing it with a tool such as ‘big data’ software, we can figure out patterns of our customers’ behavior. Sometimes, actually, in most cases, we cannot find out the reason why those patterns have been formed. However, the reason why they do is not so important for the success of our business, and we just can take advantage of the pattern we have found. For example, though it is just a fiction, Walmart conducts a big data analysis with their several years huge data set, and they find a fact that women tends to check out on right side counters and men tends to choose left side counters. Those patterns might be because groceries are usually placed on the right side of the Walmart stores or because Walmart usually arranges beautiful female staffs on the left side (definitely not true). They

Business thrive when they have the most accurate, up-to-date, and relevant information at their disposal. This information can be used for a plethora of pertinent markers in small and large businesses, relating to accounting, investments, consumer activity, and much more. Big data is a term used to describe the extremely large amounts of data that floods a business every day. For decades, big data has been a growing field, facing controversy on many levels, but as of late, it has been a major innovator in the challenge of making businesses more sustainable. Big data is often scrutinized for its over-generalization and inability to display meaningful results at times. When applied correctly, data analysis can bring earth-altering information to the table.

According to the article, 2.8ZB of data has been created and replicated in 2012. The proliferation of devices such as PCs and smartphones worldwide, increased Internet access within emerging markets and the boost in data from machines such as surveillance cameras or smart meters has contributed to the doubling of the digital universe. IDC projects that the digital universe will reach 40 ZB by 2020, an amount that exceeds previous forecasts by 14%. Thus, data is not narrowed to big only; it is actually huge. Like, 40 ZB data is the equivalent of 1.7 MBs of new information created by the every single human for every second of the day. Developing countries like China and India are currently covering 36% of digital universe; the prediction says it will be increased up to 62% by 2020. So the companies will have numerous scopes to dig out more data and analyze them as per their requirement. Despite the unprecedented expansion of the digital universe due to the massive amounts of data being generated daily by people and machines, IDC estimates that only 0.5% of the world’s data is being analyzed.

Back in 2007, I got my first exposure to Big Data while working for a now defunct startup company, called Memedia, to design and build their online ad distribution system. There, I saw firsthand the importance of the data being collected about internet users in helping the company target ads for online advertisers to the right audience through their partner publishers. At the time, Facebook was not the behemoth that it is today and companies were timid about collecting consumers’ personal information. But as we know today, the public has become very tolerant and has allowed social media companies to be more intrusive with

Over the past few years, the volume of data collected and stored by business and government organizations has exploded. This data are refer to as “big data”, as it is an evolving term that describes any voluminous amount of structured, semi-structured and unstructured data that has the potential to be mined for information. The big data is a by-product of everyday human activities on the web, the record of multiple dimensions of social life: the tracks of our purchases on automated payment system, the record logs of our queries for finding information on search engines; the record of social networking services of our connections to friends, colleagues and collaborators; the record traces of our movements on wireless networks and mobile devices. The societal benefits of big data include; breakthroughs in medicine, data security, and energy use, conversely it contains personal sensitive information, so that the opportunities of discovering knowledge increase with the risks of privacy violation. (Monreale et. al., 2014; Tene and Polonetsky, 2013).

Psych 7 : The Person in Big Data | Dr. Professor Catterson, PhD
| UC Berkeley Summer 2016 |

The guarantee of information driven choice making is presently being perceived extensively, and there is developing excitement for the thought of ``Big Data. ' ' While the guarantee of Big Data is genuine for instance, it is assessed that Google alone contributed 54 billion dollars to the US economy in 2009 - there is right now a wide crevice between its potential and its acknowledgment. Heterogeneity, scale, convenience, intricacy, and protection issues with Big Data block progress at all periods of the pipeline that can make esteem from information. The estimation of information blasts when it can be connected with other information, subsequently information combination is a noteworthy maker of quality. Since most information is directly produced in advance today, we have the open door and the test both to impact the creation to encourage later linkage and to naturally interface already made information. We trust that fitting interest in Big Data will prompt another rush of central mechanical advances that will be epitomized in the following eras of Big Data administration and investigation stages, items, and frameworks. The interest in Big Data, legitimately coordinated, can result in major investigative advances, as well as establish the framework for the up and coming era of advances in science, solution, and business.

Big Data is Large sets of information that may be analyzed to reveal patterns or trends. So how does it start small? In the beginning of this episode one of the speakers says, “Every single data point has a human story.” Today many people are pursuing their passions, while being able to gather data. This data is not only useful for research, but can save lives. Warnings for flash floods, disaster reliefs maps, or protecting our planet — We, “The Crowd” can play a big role in our communities or even half way around the world.