Big Data Is An Emerging Term

What is big data and how is it defined in today’s modern world? In 2001 Doug Laney Articulated what Big Data meant and this has become the industry standard for the idea. (SAS, 1) More accurately he described the three main attributes that defined Big Data. Laney articulated this idea during a period when Big Data was in its infancy. The amount of Data that could be stored did not allow for the level of analysis that is now common practice fourteen years later. This level of analysis is both changing the way we do business and changing the way we save lives. The amount of data collected from social media alone has completely revolutionized the marketing world allowing for targeted marketing campaigns at certain demographics. Laney described big data in three ways. (SAS, 1)

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

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

With the buzz around many big data applications, privacy concerns regarding their uses have also grown. With the personal data has been mined and published every day, the battle to reclaim the privacy starts vigorously. E-commerce websites harvests information about all the online searches of customers. Social Media exposes the likes and preferences of people, their photos and all their daily activities. Video surveillance monitors the movement of people. The data gets published from health care, censes and other government agencies. With such potential of harvesting, mining and publishing data, the risks of using big data is more than anything [29].

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.

What does it mean to say “big data”? Big Data is more than just massive amounts of data stored together. It is more than just data delivered or analyzed fast. Meta Group’s Doug Laney described it as data that has volume, velocity, and variety (2001). This is the 3 V’s of Big Data and is widely used to define it. Additions to this definition include other V’s, such as veracity and value (XXX). What is volume? Volume could be 7 billion people speaking at once. It can be the data created by millions of Americans uploading photos, buying shoes online, or searching for the definition of Big Data. It is the volume of data being created by researchers at unprecedented amounts to chart the stars, to map the human genome, or to trend

Big data is anything which is too large for traditional databases to handle. They range from Terabytes of data to petabytes of data. Big data is generated from various sources, such as social media networks, oil wells, mobile phone conversations, weather data etc.

Although we hear the term ‘big data’ frequently now, the true definition of big data does not seem to have a singular, agreed upon definition. Depending on who you ask, big data can mean many different things. What would seem to be the most intuitive definition of ‘big’ data is not necessarily the correct one. Though the size of the data is an important aspect, it is not always the defining factor. According to Dell EMC’s video, Big Ideas: How Big is Big Data, big data is “any attribute that challenges the constraints of system capability or business need.”1 Will Hakes, Co-Founder and CEO of Link Analytics, claims that big data cannot be defined in precise terms and is, effectively, a “rallying cry.”2 Hakes does, however, agree that any

Big data is an extremely important topic for future developments, growth trends and similarities between certain things. From a Microsoft blog published in 2013 big data is “the process of applying serious computing power” (HowieT, 2013). Another article describes big data as data that “exceeds the processing capacity of conventional database systems” (Dumbill, 2012). Based on these definitions and many more alike, big data refers to or can be described as recorded information that exceeds capacity. As brief as this is, data can be recorded using many instruments and even through observation. This topic is interesting to research and develop as new technologies are more capable at storing and reading mass data. With technology advancements, a method that took half a day, more than ten years ago, would only take a couple of minutes using present technologies. As big data is getting more widely used more businesses and enterprises will be interested in the trends shown.

Big data refers to the growing data a company experiences but this data has to be managed and processed to convert it into useful information. For example, a company XYZ just launched an e-commerce website and its receiving a

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.

The “Big Data” becomes a common word now in Information Technology and Business world. These two simple English words created history and meant a ton in Global market. In past the data refers to traditional data and data volumes either in single or multiple terabyte ranges. But today it’s beyond traditional data and includes real time transactional data which is a key to the business systems.

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

In comparison to the traditional business intelligence, big data does provide major improvements. Traditional business intelligence is top down approach whereas big data is bottom up and empowers end users with a valuable analysis thus enabling them to take prompt and smart business decisions. The value generated from big data analytics is applicable to all sectors. The advantages of big data analytics are huge but it also raise serious concerns