Big Data And Its Impact On Data Recording And Storage Essay

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,

Many people have become so immersed in data, that they are unable to recognize the data that they have been exposed to. For example, many college students either watch tv or listen to music while completing homework. Students often time just see this as background noise when in reality this is data that become stored in your unconscious mind. The film Big Data gives a visual account of how much data streaming has impacted society both negatively and positively through the use of data analysis. Data has taken away the ability to remain anonymous and has also sparked a decline in human interpersonal skills. However, Data also has allowed humanity to collect new information providing new solutions to world issues. The film Big Data is able to

Big Data is the act of compiling large sets of data based on a single individual or groups. Everyone encounters data in their daily life--you are experiencing it when you log onto a social media account, when you stream entertainment online, or even when you are online shopping. When you do any of these things you are leaving behind a digital trace that can be accessed by just about anyone. In “Six Provocations for Big Data,” danah boyd and Kate Crawford raise questions regarding the nature of Big Data. What is considered public information? What is the ethical way to go about retrieving data from online sources? Is Big Data more harmful or helpful? How often do you encounter Big Data, or data in general? What is the relationship between data

Like Luna et al., Kuo, Sahama, Kushniruk, Borycki, & Grunwell (2014) note the inconsistency of the definition of big data in research. They, however, say this inconsistency is because big data is an evolving concept. They describe big data as data that is so large, so complex, and growing so fast that traditional data management methods cannot hold or organize it. Kuo et al.’s and Luna et al.’s definitions varied among syntax, but both stressed the complex nature of big data. This variation seemed to be a trend among several of the researchers. While each researcher’s definitions somewhat differed, each seemed to agree that big data is data that is so complicated that traditional methods cannot handle it. The researchers continued to agree that the complex health data available today falls under the definition of big data.

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.

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

Businesses using data is not a new concept; however, the role of data within industries has increased dramatically over the years to the point that it is essential for a business to understand how to handle data in order to continue operations. In today’s bustling digital age, professionals credit a certain type of data called “big data” with helping businesses gain insight on consumers. Big data is created whenever you travel to your favorite restaurant, make a particular move in a video game, swipe your card to purchase your favorite pair of Crocs, or tell your Facebook friends what you had for breakfast. It is data that is too large to be captured and processed by standard business

Not only the development of Big Data brings big opportunities, but it also brings big

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).

The rise of big data analytics has affected the 21st century American economy and businesses in many positive ways. One area where it is lagging, however, is the healthcare industry. For years, America has paid more for healthcare than any other country on Earth. This can be attributed to a number of reasons, but a large factor among these is the inefficiency of the current healthcare system and its failure to adapt to cost-saving analytics like other industries have. That is where big data analytics can step in and serve a great purpose. Big data is the process of taking mass amount of information across different, but interrelated areas in order to derive deeper meanings, insights, trends, and analysis through the usage of high-speed, high-capacity algorithms. This can be huge when one considers that as of 2014, there are 44 petabytes of information on patients in the electronic health records system. (Raghupathi) This can include medical history, imagery from patient scans, lab results, and a vast array of other information. Couple this information with the push to integrate individual’s social media posts, personal DNA sequencing, and vital data collected by smartphones and wearables, just to name a few, and it becomes evident that we as a species will be generating exuberant amounts of medical data. There are some people, however, who feel that having this information integrated into any kind of database poses a risk to the privacy of their most personal,

In economically uncertain times, many businesses and public sector organizations have come to appreciate that the key to better decisions, more effective customer or citizen engagement, sharper competitive edge, hyper efficient operations and compelling product and service development is data — and lots of it (Cameron McNaught,2010). Today the situation they face is not any shortage of that raw material. In a way that the wealth of unstructured online data alone has swollen the already torrential flow from transaction systems and demographic sources but how to turn that amorphous, vast, fast-flowing mass of “Big Data” into highly valuable insights, actions and outcomes.

Big Data refers to the large amounts of data that businesses deal with on a day-to-day basis. Big Data can be defined in many ways, but this is one of the most general definitions. One of the primary uses businesses have for Big Data is to provide assistance for decision making. In order for Big Data to be effective, organizations must utilize the data to their advantage. The quality of information is what matters, not the quantity. Organizations may have virtually unlimited amounts of data to work with, but they must locate the helpful portions of data in order for it to be effective and serve its purpose. In addition, some data may not be helpful at the present moment in time, but will be needed for analysis in the future (“What Is Big Data?”,

A very simplified way of looking at big data refers to, “the sheer mass of data produced daily by and within global computer networks at a pace that far exceeds the capacity of current databases and software programs to organize and process” (Dewey, "Big Data"). The world of big data has evolved primarily from the business intelligence and analytics field of information technology. Big data and big data analytics involve big data sets. The information that is stored requires unique ways of holding and organizing the data in order to process it correctly. Common methods of data storage are just not possible. The internet has added to the amount of data that can be captured. With the ability of advertisers to utilize technologies to capture user information through web interfaces, the sheer magnitude of information that can be kept is staggering. All of this information can be put to use by any number of businesses and governments (Chen, Chiang, and Storey, "Business Intelligence and Analytics: From Big Data to Big Impact."). The ability to direct or channel all of that information opens unbelievable doors to virtually any organization. All kinds of organizations would benefit including businesses, governments, schools and hospitals (Dewey, "Big Data"). “Big data may be as important to business –

Big data is often referred to and defined in many different ways.In layman terms, we can interpret it as massive or huge amounts of information which cannot be handled efficiently by the current technologies and softwares. But recent technological advancements like data analytics, and social or media networks allow process, transfer, allocate, measure and represent enormous amounts of data which can also be referred to as Big Data.

Big data is an extensive collection of structured and unstructured data. It is a modern day technology which is applied to store, manage and analyze data that are not possible to manage, store and analyze by using the commonly used software or tools. Since all of our daily tasks are overtaken by the modern technologies and all the businesses and organizations are using internet system to operate, the production of data has increased significantly in past