Abstract

The library plays a vital role for the students, researchers, and academician as a central data storage which is utilized for accessing any required data within less time and effort. Academic libraries are rich in primary and secondary data with lots of content, which may include data from other resources also such as internet and other media. This large amount of data must provide a valuable information to the user, but it may not be same format. Librarians need to transform and analyse all the available data to the same format so that it becomes easier for the user to facilitate the required knowledge. For example, they need to create a dataset in a manner that is easy to visualize and accessible. In this regard, big data analytics tools such as information visualisation tools help the user in mining the intended information. In any case, it is assumed that the confinements and conceivable outcomes of Big data innovation are being considered and that relationships are acknowledged as precise. This chapter focus on all the possibilities of various issues and challenges that may arise while using big data with library.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.