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Big Data and Libraries
Stephen Scholand | 2023 | ISBN: 1682508609 | English | 292 pages | True PDF | 10 MB[/center]
Now a day's data is very important thing without data nothing is possible. Big data is nothing about the simply data that expands the processing ability of conventional database system and the data is so large and moving very fast or does not fit in database architecture. Big data is huge amount of digital data or information collect by the government, private companies, social websites and many firms around us. We use a wide variety of big data applications every day. Often without even thinking of as big data applications. Face book, Google, LinkedIn and Tweeter are just a few of the applications that use large amounts of data of data to give us insights and keep us entertained. Big data is generally from various sources such as sensors, devices, video/audio, network, log files, transactional applications, web and social media whose size or type is beyond the ability of traditional relation databases to capture, manage and process the data. Big data when analyzed allows users to make better and faster decisions. In the dynamic environment, records and management systems are independently maintained by education institutions, libraries and books whilst data are not readily accessible in a centralized position. Big data is being created due to digitalization of libraries and this has imposed limitations to researchers, educationists, scholars and policy maker's efforts in improving the quality and efficiency. As a result, serving the users with books and articles that are in line with their interests is a great challenge. Nowadays Libraries are offering online resources and services. Libraries are also using social media outlets Facebook an Instagram to promo their services and programs. Librarians with the help of emerging technology and tools such analytics software are able to collect more online data, analyze them for adding value to their services. Thus Libraries can use big data to make better decisions regarding collection developments, updating public spaces and tracking the use of library materials.
This book addresses the issues of bringing various sources of information from different sources and institutions into one place in real time which can be time saving. The primary objective is to decrease the time that lapses between searching the reading material and the actual reading. Thus, a mechanism by which this bridge can be gapped is of paramount importance as access to information is costly especially to those with limited internet access. The book focuses on the development of a strategy that reduces time of finding reading material and this is in line with current recommendation system. This makes researchers, educationists, scholars and policy maker's reach out for research solutions easily and cheaply and also makes information more accessible to the underprivileged and marginalized.
Big Data and Libraries
Stephen Scholand | 2023 | ISBN: 1682508609 | English | 292 pages | True PDF | 10 MB[/center]
Now a day's data is very important thing without data nothing is possible. Big data is nothing about the simply data that expands the processing ability of conventional database system and the data is so large and moving very fast or does not fit in database architecture. Big data is huge amount of digital data or information collect by the government, private companies, social websites and many firms around us. We use a wide variety of big data applications every day. Often without even thinking of as big data applications. Face book, Google, LinkedIn and Tweeter are just a few of the applications that use large amounts of data of data to give us insights and keep us entertained. Big data is generally from various sources such as sensors, devices, video/audio, network, log files, transactional applications, web and social media whose size or type is beyond the ability of traditional relation databases to capture, manage and process the data. Big data when analyzed allows users to make better and faster decisions. In the dynamic environment, records and management systems are independently maintained by education institutions, libraries and books whilst data are not readily accessible in a centralized position. Big data is being created due to digitalization of libraries and this has imposed limitations to researchers, educationists, scholars and policy maker's efforts in improving the quality and efficiency. As a result, serving the users with books and articles that are in line with their interests is a great challenge. Nowadays Libraries are offering online resources and services. Libraries are also using social media outlets Facebook an Instagram to promo their services and programs. Librarians with the help of emerging technology and tools such analytics software are able to collect more online data, analyze them for adding value to their services. Thus Libraries can use big data to make better decisions regarding collection developments, updating public spaces and tracking the use of library materials.
This book addresses the issues of bringing various sources of information from different sources and institutions into one place in real time which can be time saving. The primary objective is to decrease the time that lapses between searching the reading material and the actual reading. Thus, a mechanism by which this bridge can be gapped is of paramount importance as access to information is costly especially to those with limited internet access. The book focuses on the development of a strategy that reduces time of finding reading material and this is in line with current recommendation system. This makes researchers, educationists, scholars and policy maker's reach out for research solutions easily and cheaply and also makes information more accessible to the underprivileged and marginalized.
Code:
https://rapidgator.net/file/189df4c032d44ff44ccfccb7695bb88c/Big_Data_and_Libraries.pdf.html
https://nitroflare.com/view/3DAA65905F43181/Big_Data_and_Libraries.pdf