The Big Data Is Preserve Privacy Information Of The Customers, Employees, And The Organizations Essay

Personal data are regulated by United Nations and urges States to implement effective measures to ensure that information concerning a person´s private life does not reach the hands of person who are not authorized by law to receive,process and use it.Thus private data are protected not only by law of States also by international laws, and concerning computer misuse

The purpose of this review was to identify the holistic approach to deal with the privacy issues of the health data usage in the era of big data. Based on the research review, several results were generated about how to address these issues.

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.

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

The author points out that although there are existing algorithms and tools available to handle Big Data, they are not sufficient as the volume of data is exponentially increasing every day. To show the usefulness of Big Data mining, the author highlighted the work done by United Nations. In order to further enhance the reader’s perspective, the author provided research work of various professionals to educate its readers about the most recent updates in Big Data mining field. The author further describes the controversies surrounding Big Data. The author has first provided the context and exigence by elaborating on why we need new algorithm and tools to explore the Big Data. The author used the strategy of highlighting the logos by mentioning the research work of different industry professionals, workshops conducted on Big Data and was able to appeal to connect to the reader’s ethos. The author also used pathos by urging the budding Big Data researchers to further dig deep into the topic and explore this area

The information on people’s name, addresses, and even Social Security numbers can be easily stolen from workplaces. Identity theft can be more threatening since it can happen in person instead of remaining anonymous through online hacking. Commission has compiled an accurate statistics which presents over five-hundred thousand cases, with the average victim being robbed seventeen thousand dollars (Bielski). The cases involving “data snatching” gives an insight on what is to be expected when criminals steal or duplicate someone’s information to use it for potential advantages. Federal agencies like the IRS, the Centres for Medicare & Medicaid Services, are usually the areas where big data are eventually used for money (“SIRF’s up). States continue to lag behind as the situation get worse, this type of crime is

As we’ve moved further into the twenty-first century, our world and society has been immersed into the digital world. With this digitization of our culture we have created a new resource, data. Data has become king in the Age of Intelligence, it fuels most of what technology companies use to make money. Companies like Google, Facebook, Amazon, ect. have leveraged their vast amounts of data generated by the millions of internet users to better advertise and attract more users. Surprisingly most of this data collection is created and aggregated unbeknownst to the users. This is where the problems start to show themselves. When users are generating 2.5 quintillion bytes of data each day, as estimated by IBM,(https://www-01.ibm.com/software/data/bigdata/what-is-big-data.html),

In addition, there are more personal data being collected as the cost of information technology falls. Although, collecting such data undeniably provides economic benefits, it has proved impossible to keep data completely protected against criminal misuse (Roberds and

of big data are obvious but we also have to ensure our privacy at the same time. If we ensure privacy in

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 the present most-liked theme of today 's technology. These research goes through all description of techniques and technologies of extracting of the data, storing of data, distribution of data, analyzing of data, managing of data with high velocity and from the structured data and helps in the handling of the extreme data. Big data has the presentation the capacity to improve predictions, saving money and enhancing the decision making process in the fields of the traffic control, weather forecasting, disaster prevention, fraud control, business transaction, education system, health and the national security.

This paper will look at some of the ‘Big Data’ being implemented today. Regardless of ow anyone feel, ‘Big Data’ s a thing that is not going away. This paper will look at Video and Image Data, Audio Data, Textual Data, Managerial Accounting.

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 refers to a large volume, velocity and variety of data generated from different types of sources. This data is streamed from sensors and smart devices in real time. It also includes traditional data pertaining to citizens. A smart city utilizes IoT sensors, actuators and technology to connect components across the city. Data gathered from various segments is analyzed and patterns are derived from the collected data which helps in decision making.