Big Data is a term used to describe the large volume of data whether structured or unstructured that inundates a given operation on a daily basis (http://www.SAS.com). Big Data consists of data sets that are so huge and complex that the customary data processing applications would not adequately handle them. Of late, the concept of Big Data has been used to describe the use of predictive analysis, user behaviour analytics and other complex data analytics techniques for the extraction value from data. The concept of Big Data can be understood through the description of the three V’s as advanced by Doug Laney, who is an industry analyst. First, Big Data can be understood in terms of Volume, whereby organizations collect large data from a variety …show more content…
However, Big Data cannot be used to generate new plans and predicting the future with certainty (Sagiroglu & Sinanc, 2013).
Types of Big Data used
The first type of Big Data used in military logistics is the structured data, which is data that has been stored in the databases in an orderly manner. In military logistics, the two sources of structured data are machines and humans. Examples include GPS data, usage statistics of vehicles, ships and aircrafts, and data from medical devices. The second type of structured data is unstructured data, which is data that resides in the traditional column databases and have no clear format in storage. Examples include the mobile data, and data from satellite images about certain terrains (Sagiroglu & Sinanc, 2013).
…show more content…
Military logistics also involves the transport of military personnel, acquisition, operation and maintenance of the military facilities, and the medical health support (Davenport & Dyché, 2013). The use of Big Data thus presents a number of opportunities and benefits to the military logistics. First, the Big Data can be used to create a threat alarm system that would alert the military personnel of imminent threats such as terrorism and enemy attacks on warehouses and other storage facilities. Big Data can be used for social media monitoring to know a specific user group’s sentiments on a given policy enabling the military to take proactive actions. Thirdly, the use of Big Data presents an opportunity for information mining due to the use of emerging technologies such as cloud computing, management of real-time health usage and monitoring (HUMS) data for optimum vehicle availability and usage and lean supply chain management (Waller & Fawcett,
Big Data is characterized by four key components, volume, velocity, variety, and value. Furthermore, Big Data can come from an array sources such as Facebook, Twitter, call
Information technology is so important in war today that it overwhelms everything else. Perhaps the prevai...
A database is a structured collection of data. Data refers to the characteristics of people, things, and events. Oracle stores each data item in its own field. For example, a person's first name, date of birth, and their postal code are each stored in separate fields. The name of a field usually reflects...
Predictive and Text Analysis on Big Data – Being able to forecast data and analyse critical information for the company.
In today’s operational environments, the U.S. Army is facing a range of problems and mission sets that are arguably more complex than previously encountered. Forces face an array of demands that encompass geo-political, social, cultural, and military factors that interact in unpredictable ways. The inherent complexity of today’s operations has underscored the need for the Army to expand beyond its traditional approach to operational planning. In March 2010 in FM 5-0: The Operations
The key strategy implementation efforts at Amazon all surround the use of “big data”. Big data is the growth and availability of large volumes of structured/unstructured data. The use of big data has allowed decision making based upon data and analysis instead of past experience and intuition. Big data has directed organizational change in allowing Amazon to expand from an online book store to an internet giant. Revolutionary application of big data has allowed Amazon to create superior service quality while motivating employees by providing real time information to solve customer issues. Big data has strengthened Amazon’s competitive capabilities by pioneering the application of big data and charging a monthly fee to smaller businesses
In today’s society, technology has become more advanced than the human’s mind. Companies want to make sure that their information systems stay up-to-date with the rapidly growing technology. It is very important to senior-level executives and board of directions of companies that their systems can produce the right and best information for their company to result in a greater outcome and new organizational capabilities. Big data and data analytics are one of those important factors that contribute to a successful company and their updated software and information systems.
Big Data is a term used to refer to extremely large and complex data sets that have grown beyond the ability to manage and analyse them with traditional data processing tools. However, Big Data contains a lot of valuable information which if extracted successfully, it will help a lot for business, scientific research, to predict the upcoming epidemic and even determining traffic conditions in real time. Therefore, these data must be collected, organized, storage, search, sharing in a different way than usual. In this article, invite you and learn about Big Data, methods people use to exploit it and how it helps our life.
The U.S. army has come up with a digital warfare system called Army Battle Command System. This system can scan digital street maps, monitor enemy positions, zoom in on individual buildings through satellite imagery and download instructions from commanders. The Army Battle Command System has been but in to a hand full of Humvees in Iraq. This technology was originally designed for battlefield combat which was tanks and helicopters, but now they have found that it is much more useful for hunting rebel leaders and trailing street fighters.
...ch Reips. ““Big Data”: Big Gaps of Knowledge in the Field of Internet Science.” International Journal of Internet Science 7.1 (2012): n. pag. Web. 16 Mar. 2014.
Big data originated with web search companies that encountered problems with querying large amounts of both structured and unstructured data. With regard to its background, “big data came into being when web search companies developed ways to perform distributed computing on large data sets on computer clusters” Floyer (2014: 1). Big data then spread to enterprises due to their adoption of developing, processing and dissemination of data.
Examples of the four data types discussed above will follow. The examples should provide a better understanding of the data types. Examples of nominal data are numbers on sports jerseys and automobile classes (e.g., sports, sedan, luxury, compact, etc.). Examples of ordinal data are student class rankings (e.g., first, second, tenth, etc.) and student grades (e.g., A, B, D, etc.). An example of interval data are temperature marking on a thermometer. . Examples of ratio data is weight and speed.
Example of the non-structured data is an email and the word processing documents. An email is the message that being distributed into the recipients using an electronic. It is being sent from one computer user to another user. Example of the word processing documents is the Microsoft excel. It is spreadsheets that being produce by the Microsoft for calculating, graphic tools, pivot tables and a macro programming language. This is because the files may have internal structure but it is considered as the non-structured data because the data in the database is still unstructured.
Adopting big data can also help the banking industry by saving them from lots of embarrassment resulting from increase in the number of customer which in turn requires banks to improve on their performance. As stated earlier banks are entrusted with lots of information and this information must be safe will be required to be accessed ready and in a timely fashion. The use a normal small database will not be enough to perform this operation and if banks don’t embrace the use of big data they might start to experience failure in there system.