Dr. Richard Segall will cover big data in the upcoming webinar

How is Big Data a Part of Everyday Life? Hear More From the Experts Dr. Richard Segall and Mr. Jeffrey Cook

By Sharlene Oong on Nov 8, 2018
From the grocery store to the stock market, data is constantly being shared, stored, and is driving the decisions we make. However, data can become too large or complex, which traditional processing applications are unable to handle, bearing challenges for many businesses and organizations as they need to find a solution to this current data influx.

On Wednesday, November 14 at 4 p.m. EST, Dr. Richard Segall, from Arkansas State University, co-editor of Handbook of Big Data Storage and Visualization Techniques, is hosting a webinar on big data, titled “How Does Big Data Affect You? A Look into the Process that Drives Everyone’s Decisions,” covering current big data storage and visualization tools, as well as the applications of big data in areas such as image analysis, linguistics, fog computing, and the Internet of Things (IoT). In an interview with IGI Global, Dr. Segall and co-editor Mr. Jeffrey Cook, of the publication Handbook of Big Data Storage and Visualization Techniques, explain big data, and go into detail about the trends in the industry that will be covered in this upcoming webinar.

What is the significance of studying big data?

The significance of studying big data is because many things in our everyday lives entails the use of big data, and that the standard techniques used for database management systems, such as “The Relational Databases of Edgar Codd” in 1960’s developed by Edgar Codd, the famed English computer scientist and winner of the Turing Award in 1981, that cannot be applied. As discussed in the webinar, the immense amount of data created globally every 60 seconds is immense, such as the number of e-mails sent and received in 60 seconds, which we need to know how to both store and visualize this data.

What inspired the both of you in editing Handbook of Research on Big Data Storage and Visualization Techniques (2 Volumes)?

There are many books published that discuss what big data is, but there appears to be no one book that discusses both topics on how to visualize big data and how to store big data. Data is only useful if you know how to use it and yield information, and the dimensionality of big data makes this a challenge to both researchers and industry managers.

What are the most common misconceptions about the big data in the digital age that you bring up in your publication?

The most common misconceptions about the big data in the digital age, is that big data is an area that the common person would not be able to understand, manage, visualize, or know how to store or access. Today, there are available software that allows individuals to visualize big data on not only personal computers, but also mobile devices; such as tablets. In addition, the public does not know of the multitude of available software that can manipulate big data to make it useful and visual.

Which part of the research on big data was the most enjoyable for you to conduct? Why?

The most enjoyable part of the research was communicating with researchers around the world to learn of their work in relation to big data storage and visualization techniques. This learning process extended our horizon of work in these areas of critical importance to multi-disciplines, as well as expansion of our network of researchers in the field of big data.

In your opinion, do you think there is enough research focused on big data in the digital age? Why or why not?

There is definitely not enough research focused on big data in the digital age. This was one of the reasons why we decided to create a reference work of this length and caliber that shows the immense applications of big data storage and visualization techniques ranging from financial analysis, linguistics, and genomics, to uncommon areas such as the discipline of dance and philosophical perspectives.

Given the current digital revolution, what is next for big data? How does your research implement key insights or change for these necessary steps?

One of the areas next in the digital revolution, is the applications of big data to the subject and techniques of “streaming data.” Big data is large-scale data and can be either discrete or continuous, and the continuous case of big data is often referred to as “Data Streaming.” The visualization and storage of big data as streaming data has led our research into this important area.

A Data Stream is continuous unbounded sequence of data values that arrives in time at a port on a system. A Data Stream Management System (DSMS) can be created to be adopted to the continuous unbounded sequence of data values that compose data streams.
Discover more on visualizing and storage of big data, and how it plays a part in decision-making every day. Understanding how big data can be stored, accessed, and visualized is an important step towards successfully managing it, and Dr. Segall’s and Mr. Cook’s publication, Handbook of Research on Big Data Storage and Visualization Techniques, compliments the upcoming webinar by further exploring big data analytics, its emerging technologies, and the issues pertaining to the field. While the webinar will be a significant exploration of big data, it will be just the first step to understanding a dynamic and growing field of research. Register for this upcoming webinar.
IGI Global is grateful for the opportunity to work with Dr. Segall and Mr. Cook and we look forward to seeing more collaboration that will result in publications of invaluable content. We would like to thank Dr. Segall and Mr. Cook for helping IGI Global cultivate and disseminate emerging concepts and theories in the big data field.
Dr. Segall and Mr. Cook's research is available through IGI Global’s world-renowned InfoSci®-Books, a collection of 4,500+ e-books offered as low as US$ 8,580 US$ 6,864*, this database ensures key features such as full-text PDF and HTML format, no DRM, unlimited simultaneous users, and no embargo of content. This comprehensive collection spans 11 core subject areas, including business and management, computer science, education, engineering, and social sciences and humanities. To purchase or for more information, click here or recommend this database to your institution’s librarian.
Be sure to check out Dr. Segall’s and Mr. Cook's research, as well as these recommended publications on big data, and recommend them to your library.

Disclaimer: The opinions expressed in this article are the author’s own and do not reflect the views of IGI Global.
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