A Big Data Is Fast Becoming A Ubiquitous Term

Also, ‘big data’ analytics and aggregated patient data may be able to alert providers to larger health trends such as potential outbreaks and which flu strains are prominent during each flu season.

According to Forbes magazine, big data is transforming health care systems through providing valuable operational feedback and business intelligence. Specifically, big data is revolutionizing operational and administrative processes through providing insight into how best to streamline workflows, reduce costs and deliver top quality care. For example, big data can identify previously unknown communication and operational problems, such as interdepartmental miscommunications.

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

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.

Big data is an emerging term which has been noticed since it influences our daily life gradually. The big data is a large concept that is vague because different people look at big data phenomenon from a different perspectives, it is not easy to make a precise definition (Moorthy, et. al., 2015). The definition of big data is a matter of debate, however, a typical reference is to the collection, management, and analysis of massive amounts of data (McNeely & Hahm, 2014).According to George et. al. (2014), big data include Internet clicks, mobile transactions, user-generated content, and social media and content from sensor networks or business transactions, such as sales queries and purchase transactions. These procedures are significant to

Big Data has gained massive importance in IT and Business today. A report recently published state that use of big data by a retailer could increase its operating margin by more than 60 percent and it also states that US health care sector could make more than $300 billion profit with the use of big data. There are many other sectors that could profit largely by proper analysis and usage of big data.

Big data is certainly one of the biggest buzz phrases in it today. The term ’Big Data’ appeared for first time in 1998 in a Silicon Graphics (SGI) slide deck by John Mashey with the title of ”Big Data and the Next Wave of InfraStress” [9]. -Combined with virtualization and cloud computing, big data is a technological capability that will force data centers to significantly transform and evolve within the next five years. Similar to virtualization, big data infrastructure is unique and can create an architectural upheaval in the way systems, storage, and software infrastructure are connected and managed. Big data is an amalgam of large and varieties of data sets including structured data, semi structured data and unstructured data so it’s beyond the capability of traditional tools to capture, store, process and analysis of big data. It is true that big data have capability of unlocking new sources of development in many fields but at the same time researchers are being confronted challenges with big data. This paper reveals the various challenges faced with big data and opportunities realized with big data. Keywords: Big data, Challenges, Opportunities, Security Issues.

Big-Data can be defined as the large amounts of digital information companies and governments collect about human beings and the environment we are living in. The amount of data that is getting generated is expected to double every two years,

Big data is not a hype, but it is the future. The big data industry continues to advance, and big data service providers are making it easier for companies to work with big data in driving their businesses. Progressively, greater volumes and varieties of data will be incorporated with more business processes to support better decision making and greater insight. Moreover,

Nowadays, it seems that almost anything and everything is available online at any time. You can check email from your phone, find friends, order food, and even manage employees. Apps these days are producing extraordinary amounts of data from a wide array of sources. With such a large volume of data being passed online, it was only a matter of time before companies would want to analyze this raw data to better understand and improve the day to day operations and functions. Companies like Google can use your browsing data to target advertising (Google, n.d.) and help improve functionality of their proprietary apps like Google Maps (Mehta, 2016). Hospitals use clinical based data to study patient trends, which gives a better insight into

Now-a-days the Data usage has increased a lot. Data that the human race has accumulated in the past one decade, far exceeds the data that are available to mankind during the preceding century. They also expect that different stakeholders such as consumers, companies and businesses are likely to exploit the potential of Big Data. Several estimates about the accumulation of data have challenged our earlier imagination. Data scientists are increasingly using data quantities in Peta and Zeta bytes. There is no doubt now that

One piece of information may be insignificant, but billions of data points can illuminate. That’s the underlying promise of big data and analytics, which observers have been calling a revolutionary development for several years now. But it’s difficult to know where a revolution is headed while it’s still unfolding. New research from the McKinsey Global Institute

International data Corporation (IdC) predicts that the market for big data technology and services will reach $16.9 billion by 2015 with 40% growth over the prediction horizon. Not only will this technology and services influence big data technology providers for related SQL database technologies, Hadoop or Mapreduce file systems, and related software and analytics software solutions, but it also will impact new server, storage, and networking infrastructure that is purposely designed to leverage and optimize the new analytical solutions. Major attributes of Big Data are:

There are lots of opportunity associated to big data that help any organization to handle their large amount of data, like in financial sector it store data related to finance, healthcare sector it store health related patient records, doctors detail and medicine ,medical equipment related details . In retail sector it is also used [5]. Web/social media/mobile companies also use it for storing their user detail and data like their likes, search pattern, calling and messaging records. Manufacturing and government sectors also use it.

In today’s world, the amount of unstructured data collected is humungous. This unstructured data is of no use if it is not properly processed, analyzed and evaluated. Using this data for the betterment of mankind is what most of the largest companies like Google, Facebook, Amazon, Netflix and much more are targeting. Big data is a term for datasets which are so large and complex that traditional database systems such as MS SQL, MySQL, etc., are incapable of handling them. It is not the amount of data that is important, but what organizations do with data that matters the most. Data can be mapped to useful information which can be further utilized for analyzing and drawing insights that lead to better management practices and strategic