A Research On Big Data

The amount of data produced in the world is increasing exponentially, and we are a part of this phenomenon. We all use email, phones, social media, and credit cards. The new technologies that we are bringing home, such as smart cars and smart TVs, are collecting more and more data. Boyd and Crawford exposed the imperfections of the Big Data industry, and they have shown that we cannot assume that the industry will solve its own problems. By using all these technologies, we have given Big Data access to our finances, social interactions, homes, and minds. Big Data offers imperfect people tools that can be used for good and evil. If we are blind to how our data is being collected, the industry will continue misusing our data. But if we pay attention, and demand the technology companies respect our privacy, they will be forced to have higher standards. Currently, our society has ignored how our privacy is being jeopardized. As Boyd and Crawford noted, we don’t have the tools and access of researches, and our often unaware of the algorithms collecting our information (759,760). But we do have power. We can voice our concerns, or find alternatives to services that don’t respect us. We can use the tools we have access to for good, just like Big Data has been used

The research proposal can be developed from the topic of big data to match up the demands of enormous data flow in the dynamic world. Data visualization tools at significant cost can help up in analytics of big data and can form an innovative research proposal for analysis and extensive research. The real time data and the use of techniques of big data in this domain can form an excellent topic of research calling for formulating methodologies and strategies to tap the untapped potential of this field and to experiment more in the field of research.

Big data describes large scale data sets which are analyzed, using algorithms, to determine and eventually predict patterns in human behavior, interactions and the environment (oed.com). Big data is used by government entities to protect against terrorism as well as commercial entities for marketing. Big data needs ethical standards to prevent violations of four central principles, which are privacy, confidentiality, transparency, and identity (Richards 395). Big data is awareness and empowers those who control it. This revolution in information enables companies to shape consumer identity by influencing every interaction the user has with their service. Due to its predictive and persuasive nature, restrictions are necessary for consumers to

Big Data is an expansive phrase for data sets so called big, large or complex that they are very difficult to process using traditional data processing applications. Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and information privacy. In common usage, the term big data has largely come to refer simply to the use of predictive analytics. Big data is a set of techniques and technologies that need or require new forms of integration to expose large invisible values from large datasets that are diverse, complex, and of a massive scale. When big data is effectively and efficiently captured, processed, and analyzed, companies

Technology companies are using big data to analyze millions of voice samples to deliver more reliable and accurate voice interfaces. Banks are using big data techniques to im- prove fraud detection. Health care providers are leveraging more detailed data to im- prove patient treatment. Big data is being used by manufacturers to improve warranty management and equipment monitoring, as well as to optimize the logistics of getting their products to market. Retailers are harnessing a wide range of customer interactions, both online and offline, in order to provide more tailored recommendations and optimal pricing.96

What is Big Data? Big Data is the mass collection of user data by mathematical algorithms, databases, data mining, and the use of datasets that were once believed to be static and unusable. Big Data’s history goes way back “…70 years to the first attempts to quantify the growth rate in the volume of data, or what has popularly been known as the “information explosion” (Press, Gil).” Researchers had predicted the massive growth of information and how our ability to collect and store it would need to continue to grow as well.

Accordingly, this essay will consider the importance of informational privacy and the potential harms resulting from Big Data use. It will be argued that the existing mechanisms are inadequate to address the informational privacy concerns surrounding Big Data.

Big Data is defined as extremely large data sets that can be used to analyze and compute to reveal patterns and trends, and associations. The US first started to collect data through the First Census and crop yields to track our harvest and how to improve on it. Today we do the same thing but on a much larger scale. In 2011 we hit 1.8 zettabytes of data generated in that year, that is 1,000,000,000,000 gigabytes of data we have to analyze and compute, and it was estimated to quadruple in 2013. The reason we continue to generate more and more data every year is through the technology we have today and the information that they record and transmit to us. Now we have finally come up with a name for this, Internet of Things. The internet of things is every device that can connect to the internet and transmit data, these thing can range from your: car, phone, fridge, thermostat, smart watch, computer, etc. Big Data today will be measured in 3 fields volume, velocity, variety. Volume how big the data actually is, how many zettabytes how much space and energy does it cost to have this volume. Velocity how fast we can analyze this data and put it to good use as well as how fast can transfer such volume of data from one location to another. Lastly variety, since the volume of data is so enormous we have and equally wide variety ranging from cat videos on the internet to private leaks to research and scientific papers written

The most important and significant challenge in the big data is to preserve privacy information of the customers, employees, and the organizations. It is very sensitive and includes conceptual, technical as well as legal significance. Any collected information about a person, when combined with other sets of data, can lead to the finding of persons secret and private information. “ As big data expands the sources of data it can use, the trustworthiness of each data source needs to be verified, and techniques should be explored to identify maliciously inserted data” (Jaseena K.U. Julie M. David). Big data gives us a significant opportunity in the field of national security, a breakthrough of diseases, medical researchers, marketing and business analysis, urban planning, and so on. But these exceptional advantages of big data are also restricted by the privacy concerns and the data protection. On the other side, privacy is a huge concern. Critical pieces of information of users are collected and used in furtherance to add value for any businesses. This is done by exploiting the insight in their personal information, and in most of the cases, users are totally unaware of it. The user might not want to share his/ her information. But, it is already being known to the data owner without the consent or even knowledge of it to the user. “ Unauthorized release of information, unauthorized modification of information and denial of resources are the three categories of security

Big data is the new and still relatively misunderstood phenomenon in which companies are you using vast amounts of collected data to reveal patterns and certain trends within their collected data. Though big data is being used in a variety of different fields from retail to governmental uses, it is becoming most prominent within the healthcare field. Everyday thousands of people are admitted into hospitals and seen at various emergency clinics around the world. What if all this data from each individual seen at these clinics and hospital could be accumulated and a detailed report given to see signs of new diseases or new trends of medications effects? This is where big data is becoming such an integral part within the healthcare field.

Big Data can analyze a customer’s purchases, profile information, and make an accurate prediction on what his/her interests will be. Big Data has the potential to be the phenomenal tool of the future. It can accurately predict what a customer wants and show advertisements that he or she is actually interested in; It can be installed in smart cars, where an automatic distress call is sent when an unlucky individual is in a car accident; It can be uploaded to devices that closely monitor people’s health and report any irregularities to their doctor.4

Another issue privacy is associated with is when the era of Big Data has begun. According to boyd and Crawford’s article, “Computer scientists, physicists, economists, mathematicians, political scientists, bio-informaticists, sociologists, and many others are clamoring for access to the massive quantities of information produced by and about people, things, and their interactions (boyd 756). Utilizing Big Data can potentially help the world in so many ways, especially with the researches, where they believe, Big Data enables them to see things in bigger perspectives. Additionally, with this advanced technologies, Big Data made people’s life easier – that is, humanities and social academics, marketers, governmental organizations, educational institutions, and driven individuals can easily access, produce, share, and organize data (boyd 756). However, no matter how Big Data can help the society in different ways, it is questionable and debatable, predominantly the practices in social network sites such as Facebook and Twitter, as to who has the access to this data, how it is being utilized, and to what extent (757).

Due to the rapid growth in the use of Internet and its connected tools, an enormous amount of data are being produced on a daily basis. The concept of big data arrives when we were unable to manage this huge data with traditional methods. Big data is a mechanism of capturing, storing and analyzing the big datasets and also an idea of extracting some value from it. It is very handful while determining the root causes of failures, issues and defects in near-real time, creating coupons and other sales offers according to the customers shopping patterns, detecting any suspicious and fraudulent activities in real-time. As it is very advantageous, it also has some issues. Some of the common issues can be characterized into heterogeneity, complexity, timeless, scalability and privacy. The most important and significant challenge in the big data is to preserve privacy information of the customers, employees, and the organizations. It is very sensitive and includes conceptual, technical as well as legal significance.

Big data is a concept used for collecting, storing, and analyzing large volume of data and provides decision making and also support optimization processes. Social media plays an important role in taking decisions about any products based on the reviews provided by the user. It accurately tells about the exact opinion of the user regarding the product. Twitter is one

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.