Big Data And The Data

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

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 a relatively recent concept in the marketing world that describes the process of analyzing massive data sets to uncover trends. The data sets are so large that it would be almost impossible to find such trends without high-powered analytical technology. Big data has been facilitated by the ability to gather massive amounts of information about consumer profiles and shopping trends. The primarily facilitators of big data collection are credit card companies and online companies like Google and Facebook that track people's purchasing and computer usage patterns. Big data has been used in a lot of different industries to revolutionize everything from health care to manufacturing to government (Manyika, et al,

When you hear the word “big data” what it is that first comes to your mind, a straight forward answer would be huge amount of data ranging between tens or hundreds of peta bytes to few zeta bytes of data. In a way, Big Data is not just about the amount or volume of data but one way it is about deriving business value from a range of new and emerging data sources, including social media data, location data generated by smart phones and other roaming devices, public information available online and data from sensors embedded in cars, buildings and other objects — and much more besides. Another way to define big data would be a 4V model wherein Vs stand for Volume, Velocity, Variety and Veracity. The next question that pops in would be what led to this huge pile of data, well certainly days or months or years is

In today’s world, data is being amassed at an unprecedented scale. Large amounts of data generated by and about people and their interactions are being collected, analyzed, and stored for future use. Organizations are able to gain access to a variety of data sources including call logs, text messages, emails, client chats, social media pictures, videos, and posts, RFID, Geographic Information Systems (GIS), and much more. The reception of Big Data is described by boyd and Crawford (2012) as being “seen as a powerful tool to address various societal ills, offering the potential of new insights into areas as diverse as cancer research, terrorism, and climate change” as well as being “seen as

Big Data is the extremely large datasets that their sizes are beyond the ability of capturing,

Big data refers to the large amount of data that is impossible to handle by using traditional or conventional methods such as relational databases or it is a technique that is required to handle the large amount of data that is generated with advancements in technology and increase in population. Big data helps to store, retrieve and modify these large data sets. For example, with the advent of smart technology there is rapid increase in use of mobile phones due to which large amount of data is generated every second, so it is impossible to handle by using traditional methods hence to overcome this problem big data concepts were introduced.

Definition of Big Data: “Big Data technologies are the new generation of technologies and architectures that are designed to economically extract value from very large volumes of a wide variety of data, by enabling high velocity capture, discovery and/or

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 a newer term that has been introduced to the technology world. By definition, the term “Big Data” refers to large amounts of complex sets of data, their relationships and their analysis. (Electronic Privacy Info Center). It can also be defined as a “collection of data from traditional and

Understanding what big data means is really simple.” It is being generated by everything around us at all times. Every digital process and social media exchange produces it. Systems, sensors and mobile devices transmit it” (Big Data Analytics).Big data is being produced by everyone and every day that finding ways way to manage this data is becoming a challenge. It arrives from multiple sources or touch points such as websites, social media or apps on smart phones at a high velocity, volume and variety. “All kinds of technologies or approaches including mobile devices, remote sensing technologies, software logs, wireless sensor networks, social media etc. are used by organizations to collect big data. (issue, 2013)” Now that the meaning of ‘big data’ is clear, it’s important to know that this information is useless unless it’s processed properly with the right tools. To extract meaningful value from big data companies spends fortune; it requires optimal processing power, analytics capabilities and skills.

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

Big data is defined as “large data sets or to systems and solutions developed to manage such large accumulations of data, as well as for the branch of computing devoted to this development.” (“Big Data”) This definition of big data was not added to the dictionary until 2014. The next big thing in business analytics is a relatively new, yet, explosive business practice known as data mining: the collection and analysis of big data. (Fayyad) These large, seemingly random, sets of data are condensed and analyzed for patterns and trends by people with a very broad set of skills. These people are known as data scientists and are considered unicorns in today’s job market.

The term Big Data is to a large extent vague and amorphous. Information technology professionals look at Big Data as large data sets that require supercomputers to collate, process and analyse to draw meaningful conclusions. A phenomenon defined by the rapid acceleration in the expanding volume of high velocity, complex, and diverse types of data. The new character added in this definition is

In 2013 the overall created and copied data volume in the world was 4.4 ZB and it is doubling in size every two years and, by 2020 the digital universe – the data we create and copy annually – will reach 44 ZB, or 44 trillion gigabytes [1]. Under the massive increase of global digital data, Big Data term is mainly used to describe large-scale datasets. Big data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making [2]. Volume of Big Data represents the magnitude of data while variety refers to the heterogeneity of the data. Computational advances create a chance to use various types of structured, semi-structured, and