When I think about big data, the first thing that comes to mind would be the internet, or some form of a collection of user data from a global perspective that is intertwined with each other that gets recorded as one big unit of data exchange. In the Ubiquity piece, they explain the terminology and a brief history of this term. They say, “: the expansion of the internet into billions of computing devices, and the digitization of almost everything. The internet gives us access to vast amounts of data. Digitization creates digital representations for many things once thought to be beyond the reach of computing technology. The result is an explosion of innovation of network-based big data applications and the automation of cognitive tasks. This revolution is introducing what Brynjolfsson and McAfee call the “Second Machine Age.” This symposium will examine this revolution from a number of angles.” (ACM Ubiquity, pg.1).
Within the past twenty years and more, none of this was possible until recently. Internet expansion has opened up doors of opportunity for the future of big data. This is extremely important because this transition into the tech era requires the tools and the components to make universal connectivity possible. The transfer of data packets to hold vast amounts of information and code and have it be sent wirelessly and instantaneously would be another great description to big data and its ideal purpose. The big takeaway here would be this is the revolution in the power of digitization.
This revolution is the foundation to the new functions and operations for society, politics, education, policy, government, and science. For digital data and data science, not only does big data capabilities allow computing power able to handle volumes of data, but for data science and education, this aids the process of “data analysis, research, manual and automated search capabilities, and machine learning functions and modeling” (Ubiquity Big data, pg. 1). This is changing the way in which we learn information, search and record data, send data, analyze data, and compute and translate data for everyday or personal use. Big data has changed the world.
I wanted to pull in another outside source after this. The company and brand Statistical Analysis System, SAS, empowers the function and support to big data analysis. According to SAS, they define big data as, “Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it’s possible to analyze your data and get answers from it almost immediately – an effort that’s slower and less efficient with more traditional business intelligence solutions” (SAS, Big data, pg.1). The main benefits to big data are speed, efficiency, and innovation. It has influenced the business world in terms of business communications and analytics that provides the efficiency tools and proficient environment for advanced stability and recognition. The concept of big data allows the “competitive edge” that big companies need (SAS, big data, pg.1). According to SAS, the importance to big data lies in: “cost reduction, faster better decision making, and new products and services” (SAS, big data, pg. 1-2). The power of big data is taking the world by storm and will be unstoppable with continuous efforts and changes to its mechanics and process functions.
Jeffrey Johnson, Peter Denning, et al., Big Data, Digitization, and Social Change (Opening Statement), Ubiquity 2017, (December 2017).