Information Professionals and Big Data

Journal of Energy and Power Engineering, 2016

In recent years, due to the widespread use of electronic services and the use of social network as well, large volumes of information are being made that this information contains various types of things such as videos, photos, texts etc. besides large volume. Due to the high volume and the lack of specificity of this information, covering them through traditional and relational databases is not possible and modern solutions should be used for processing them, so that processing speed is also covered. Data storage for processing and the way of accessing to them in memory, network communication, covering required features for distributed system in solutions that are in use for storing big data, are the items that should be covered. In this paper, a collection of advantages and challenges of big data, special features and characteristics of them has been provided and with the introduction of technologies in use, storage methods are studied and research opportunities to continue the way will be introduced.

The term 'Big data' refers with the huge bulk of data which cannot be dealt with the traditional data handling techniques. Big data is a famous term which describes the enhancement and availability of data in all three formats like structure, unstructured and semi formats. Structure data is located in a fixed field of a record or file and it is present in the relational databases and spreadsheets whereas an unstructured data file includes text and multimedia contents. The primary objective of this big data concept is to describe the extreme volume of data sets i.e. both structured and unstructured. It is further defined with three "V" dimensions namely Volume, Velocity and Variety and two more "V" also added i.e. Value and Veracity. Volume denotes the size of data, Velocity depends upon the speed of the data processing, Variety is described with the types of the data, Value which derives the business value and Veracity describes about the quality of the data and data understandability. In this paper a detailed study about big data, its basic concepts, history, applications, technique, research issues and tools are discussed.

International Journal of Computational Systems Engineering, 2017

From past era, a great advancement has been envisioned in the technological world. It is exponentially expanding in the field of virtualisation. Due to this, every field comes under digitalisation. Wired as well as wireless communication is completely working on digitalised form. Conclusively, expansion of huge amount of data has been seen. To manage these large chunks of information scientists and research are focused on big data. Big data has capability for paradigm shift of the prevalent IT services. In this paper, we will focus on terminology of big data, applications and various tools used to manage big data.

Health Information & Libraries Journal, 2016

Big data, like MOOCs, altmetrics and open access are all terms that have been widely banded about the library community for some time. Whilst some are unsure what these things are, despite all being around for at least five years, many in the library and information sector remain confused as to the relationship between these terms and their roles. Whilst all of these developments do indeed have something to offer to the library and information community, big data perhaps remains the most ambiguous.

Emerging Science Journal

The evolution of information systems and the growth in the use of the Internet and social networks has caused an explosion in the amount of available data relevant to the activities of the companies. Therefore, the treatment of these available data is vital to support operational, tactical and strategic decisions. This paper aims to present the concept of big data and the main technologies that support the analysis of large data volumes. The potential of big data is explored considering nine sectors of activity, such as financial, retail, healthcare, transports, agriculture, energy, manufacturing, public, and media and entertainment. In addition, the main current opportunities, vulnerabilities and privacy challenges of big data are discussed. It was possible to conclude that despite the potential for using the big data to grow in the previously identified areas, there are still some challenges that need to be considered and mitigated, namely the privacy of information, the existence...

International Journal of Engineering Sciences & Research Technology, 2014

An increasing amount of data is becoming available on the internet. Each and every one of us is constantly producing and releasing data about ourselves. We do this either by moving around passively - our behavior being registered by cameras or card usage - or by logging onto our PCs and surfing the net. The volumes of data make up what has been designated 'Big Data' -- where data about individuals, groups and periods of time are combined into bigger groups or longer periods of time. The amount of data in our world has been exploding. Companies capture trillions of bytes of information about their customers, suppliers, and operations, and millions of networked sensors are being embedded in the physical world in devices such as mobile phones and automobiles, sensing, creating, and communicating data. Multimedia and individuals with smart phones and on social network sites will continue to fuel exponential growth. Big data—large pools of data that can be captured, communicated, aggregated, stored, and analyzed—is now part of every sector and function of the global economy. Like other essential factors of production such as hard assets and human capital, it is increasingly the case that much of modern economic activity, innovation, and growth simply couldn’t take place without data

2019

Big Data is everywhere around us.In previous era,there is an increase in demand of big data,business analytics and work environment.The big data is dominantly practice-driven,the corporations are exploring how big volume of data can be used to produce and store values for the company and governments.Though the machine learning and web analytics is to guess the action of the individuals,choice of the consumer or search action.Big Data is rapid tool that not only study patterns, but also give the diving possibility of an event.Corporations have stepped on the trend of using the big capacity of data that is forever increasing,often in terra or petabytes,to better guess results with large accuracy.The United Nation has passed another initiative named Global Pulse that manipulates new digital data sources such as mobile calls or mobile payments.Now big data has become a mainstream as a corporate terms,there is a small published management scholarship that handles the provocation of using such tools.In this research paper, we explore about the concepts of Big Data and how to manage it.

One thing is sure to know the real value of raw data and the extent to which they will change the information landscape in library and information centres which is an essential task for all information professionals. To explore all the new and powerful possibilities of Big Data, to transform it into actionable knowledge that can be used by decision makers, supporting at the same time, information and data analysis literacy must be enhanced for good libraries' services. In the research directions, it was further extended in the literature review by analyzing the use of Big Data in each category of libraries separately. The in-depth study of all these elements certainly led to more accurate and precise conclusions regarding the ways the library world is influenced by Big Data technologies.

Big Data are turning into another innovation center both in science and in industry and spur innovation movement to information driven design and operational models. We are confronted with a deluge of information produced and caught in computerized structure as a consequence of the headway of sciences, building and innovations, and different social, efficient and human exercises. This big data wonder escorts in another time where human attempts and investigative interests will be helped by not just human capital, and physical and budgetary resources, additionally information resources. The staggering administration produced data turn out to be too huge and complex to be successfully handled by conventional methodologies. The most effective method to store, oversee, and make values from the administration situated big data turn into an imperative exploration issue. In this paper, we addresses a few variables influencing Big Data Quality at different levels, including, gathering, preparing, and capacity. Data quality is critical for all data investigation issues. Generally speaking a Philosophy of Big Data may accommodating in conceptualizing and acknowledging big data science as an administration rehearse, furthermore in transitioning to data-rich fates with human and data elements all the more beneficially coinciding in shared development and coordinated effort. We first examine the measurements in big data and big data analysis, and after that emphasis our consideration on the inconsistency problems in big data and the effect of instabilities in big data examination and how to manipulate inconsistencies.

Business Ethics and Leadership, 2018

This paper summarizes the arguments and counterarguments within the scientific discussion on the issue of big data in the contemporary world in terms of what big data is, how it functions, how it can be leveraged towards the common good and what limitations can prevent it from transforming its power to a springboard for development and growth. The main purpose of the research is to get a first grip on what big data is and its implications positive or negative to our world. Under this prism, the author of this paper tries to encapsulate in this literary analysis some of the many ways that big data can help us in many industries like the health and care, insurance etc. and to underline the importance of its handling due to severe confidential data breaches, like in the case of the U.S. last elections. Systematization of literary sources and approaches for solving the problem of big data's limitations indicate that big data need to be handled with extreme care and caution. As sensitive personal information is involved, the companies which use big data in order to understand their customers' approach and way of thinking towards them in order to increase their sales funnel, need to handle it in a very cautious way, especially when they outsourcing that procedure to third party companies. This paper presents the results of an in-depth literary analysis on the subject, which showed that big data is undeniably an important part of our societies and that it has specific characteristics (i.e. speed, volume etc.) which make its analysis a quite challenging procedure, which needs to involve new techniques like data mining. The results of the research can be useful for the researcher of the future in terms of examining the connection between big data, artificial intelligence and personal information. This subject is critical and needs to be addressed in a coherent way as the advent of artificial intelligence and machine learning will arise new issues on how intelligent machines will handle personal information in the years to come.