McGlynn, J. (2023). Literature Survey of Big Data (Report No. DOT/FAA/TCTN-23/55). United States. Department of Transportation. Federal Aviation Administration. William J. Hughes Technical Center. https://doi.org/10.21949/1528224
McGlynn, Jason. Literature Survey of Big Data. Report no. DOT/FAA/TCTN-23/55. United States. Department of Transportation. Federal Aviation Administration. William J. Hughes Technical Center, 2023. https://doi.org/10.21949/1528224.
McGlynn, Jason Literature Survey of Big Data. United States. Department of Transportation. Federal Aviation Administration. William J. Hughes Technical Center, 2023, Report no. DOT/FAA/TCTN-23/55, ROSA P. https://doi.org/10.21949/1528224.
Mention the topic of big data, and a person is bound to experience information overload. Indeed, it is so complex with so many terms and details that people want to run away from it. When used right, big data (BD) will help people access data they need in in real time and help managers make better decisions. The purpose of this paper is to evaluate methods, procedures, and architectures for the storage and retrieval of all Federal Aviation Administration (FAA) research, engineering, and development (RE&D) data sets, to leverage on the technology innovation and advancement opportunities in the field of BD analytics. The paper also discusses all relevant Executive Orders (EOs), laws, and Office of Management and Budget (OMB) memorandums that were written to address what federal agencies under the OMB’s jurisdiction must do to comply with various aspects of BD.
McGlynn, J. (2023). Literature Survey of Big Data (Report No. DOT/FAA/TCTN-23/55). United States. Department of Transportation. Federal Aviation Administration. William J. Hughes Technical Center. https://doi.org/10.21949/1528224
McGlynn, Jason. Literature Survey of Big Data. Report no. DOT/FAA/TCTN-23/55. United States. Department of Transportation. Federal Aviation Administration. William J. Hughes Technical Center, 2023. https://doi.org/10.21949/1528224.
McGlynn, Jason Literature Survey of Big Data. United States. Department of Transportation. Federal Aviation Administration. William J. Hughes Technical Center, 2023, Report no. DOT/FAA/TCTN-23/55, ROSA P. https://doi.org/10.21949/1528224.
ROSA P serves as an archival repository of USDOT-published products including scientific
findings, journal articles, guidelines, recommendations, or other information authored or co-authored by
USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to
ensure public access to scientific information.
Links with this icon indicate that you are leaving a Bureau of Transportation
Statistics (BTS)/National Transportation Library (NTL)
Web-based service.
Thank you for visiting.
You are about to access a non-government link outside of
the U.S. Department of Transportation's National
Transportation Library.
Please note: While links to Web sites outside of DOT are
offered for your convenience, when you exit DOT Web sites,
Federal privacy policy and Section 508 of the Rehabilitation
Act (accessibility requirements) no longer apply. In
addition, DOT does not attest to the accuracy, relevance,
timeliness or completeness of information provided by linked
sites. Linking to a Web site does not constitute an
endorsement by DOT of the sponsors of the site or the
products presented on the site. For more information, please
view DOT's Web site linking policy.
To get back to the page you were previously viewing, click
your Cancel button.