Various public and private sector industries generate, store, and analyze big data with an aim to improve the services they provide. ‘Big data’ is massive amounts of information that can work wonders. There vii. To understand the security issues and to identify the appropriate security techniques those are being used in the current world of Cloud Computing. decisions are made — and it’s still early in the game. Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. We're regularly reminded to make data-driven decisions.Senior leaders salivate at the promise of Big Data for developing a competitive edge, yet most struggle to agree on what it is, much less describe the expected tangible benefits. But let’s look at the problem on a larger scale. Traditional preventative security tools and technologies used for data mining purposes and for the prevention of cyber-attacks simply aren’t sufficient enough for many businesses ... this will hopefully become less of an issue for businesses in future years. Challenge #5: Dangerous big data security holes. If you don’t get ahead of the curve, there’s big potential for big problems; but if you do plan ahead, there are big opportunities to successfully enable the business. A greater scope of Geo Int info New kinds of Geo data and analysis Real time Geo information Data influx from new technologies Non traditional forms of Geo data Large volumes of Geo data The latest buzzword Social media data 0 ... Security challenges before we adopt Big spatial ... Big Data: Issues and Challenges Harsh Kishore Mishra. Few research issues and future directions are presented in this chapter. This special issue aims to ensemble the concepts of smart city, big data, and information security all together for addressing several cross-disciplinary challenges. We work in a data-centric world. Because of the velocity, variety, and volume of big data, security and privacy issues are magnified, which results in the traditional protection mechanisms for structured small scale data are inadequate for big data. In the book Big Data Beyond The Hype, the authors Zikopoulos et al. By 2020, the use of Big Data will improve our understanding of ourselves and the world. SCOPE of the SI. But like so many other terms — “cloud” comes to mind — basic definitions, much less useful discussions of big data security issues, are often missing from the media accounts. Big data refers to large volume of data which requires new technologies and architectures to make possible to extract value from it by capturing and analysis process. According to a 2016 Ponemon Institute survey of nearly 400 respondents, companies indicated that a data breach could cost an enterprise $4 million a year. But security issues and privacy issues are entirely two different beasts. The social networking ... Security initiated a data center, Utah Data Center (United States NSA and Director of National Intelligence initiative) which stores data in scale of yottabytes. Communication gap is a big issue in case of cloud forensics V. CONCLUSION AND FUTURE SCOPE The mechanisms or frameworks which were suggested for achieving the security, privacy and protection of data and resources in the cloud revolve around the encryption, forensic and SLA. Big Data has emerged because we are living in a society which makes increasing use of data intensive technologies. To suggest some counter measures for the future challenges to be faced in Cloud Computing. the future of big data The niche of big data is still in its infancy, but it’s already sparked storms of creativity and innovation in any industry it’s touched, including hotels and hospitality. 2. Following this major trend, in this paper we provide an overview of state-of-the-art research issues and achievements in the field of privacy and security of big data, by highlighting open problems and actual research trends, and drawing novel research directions in this field. Big Data is the Future of Healthcare With big data poised to change the healthcare ecosystem, organizations . Big data challenges are numerous: Big data projects have become a normal part of doing business — but that doesn't mean that big data is easy. In brief, we highlight the potential for significant disruption due to AI proliferation on issues of cybersecurity, justice (criminal and civil), and labor market patterns. need to devote time and resources to understanding this phenomenon and realizing the envisioned benefits. Only six percent of all respondents said that they see no issues connected with using big data technologies. Nonetheless, there are a number of challenges to overcome too. Big data and analytics is showing promise with improving cyber security. According to the NewVantage Partners Big Data Executive Survey 2017 , 95 percent of the Fortune 1000 business leaders surveyed said that their firms had undertaken a big data project in the last five years. It presents a number of challenges relating to its complexity. It will help businesses in preparing data and conduct predictive analysis so that businesses can overcome future challenges easily. 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