The Challenges Of Security And Privacy Concerns

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 and its definition has changed over the years. In a 2011 research project by MGI and Mckinsey’s Business’ defined big data as

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 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.

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,

Big Data. What is big data? As it becomes a more relevant part of the business world, this report covers how to use it, what its benefits are, and what fields it works well in.

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

Despite the concern of privacy, security is also a major interest of big data application. First of all, big data application need to be secured extensively to prevent cyber attack. In addition, Big Data itself can be deployed for enhancing cyber security.

Big data is an element that allows companies to leverage high volume data effectively and not in isolation. Big data needs to be quickly accessible and have the ability to be analyzed. Data stores or warehouses are one way data is managed that is persistent, protected and available as long as the data is needed. The forefather to data stores is relational data bases, relational data bases put in place decades ago are still in use today

According to a report from The International Business Machines Corporation, known as IBM, 90% of the data in the world has been generated in the last two years. Frank J. Ohlhorst (2013) explains how the concept of collecting data for use in business is not new, but the scale of data that has been collected recently is so large that it has been termed Big Data (p. 1). Company executives who choose to ignore Big Data are denying their companies an advantage over their competitors. Big Data analysis is fundamental for all fields of work; it provides an insight to large amounts of data that will answer questions and make discoveries to improve efficiency in all areas of the world.

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 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.

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 analysis.”

TITLE A Big Data is fast becoming a ubiquitous term in the world of computers – but what does it actually mean? Explain the fundamental principles of Big Data and discuss the impact it is having, and may continue to have, on modern computing. What challenges does the model bring and in what ways can these be resolved?