Las bibliotecas han funcionado por mucho tiempo como depósitos de información, a la cual facilitan el acceso recogiéndola y preservándola. Actualmente el entorno ha cambiado y las bibliotecas se enfrentan al reto de contener un creciente... more
Las bibliotecas han funcionado por mucho tiempo como depósitos de información, a la cual facilitan el acceso recogiéndola y preservándola. Actualmente el entorno ha cambiado y las bibliotecas se enfrentan al reto de contener un creciente volumen de información digital, de ahí que son necesarias las tecnologías de información masiva. Este trabajo tiene como propósito revisar los métodos de sistemas de almacenamiento de datos masivos, por lo cual se describen y analizan cuatro tipos de tecnologías de almacenamiento en datos: DAS, NAS, SAN y almacenamiento en nube; para ello se utilizó el método documental. Se encontró escasa literatura sobre los sistemas de almacenamiento digital vistos desde la perspectiva de las ciencias de la información, razón por la cual se retoman publicaciones del área de ciencias de la computación e ingeniería en sistemas para comprender el tópico. Se concluye que el almacenamiento de los datos en la era digital se lleva a cabo de forma concentrada y distribuida.
Libraries have long functioned as information repositories, providing access to it by collecting and preserving data. In the present, environment has changed, so libraries are challenged to contain an increasing volume of digital information, hence the massive information technologies are needed. The aim of this paper is revising methods of storage systems for massive data; therefore, four types of data storage technologies, which are DAS, NAS, SAN and cloud storage are described and analyzed using the documentary method. It was found scarce literature on digital storage systems viewed from the perspective of information science; for this reason, publications in the field of computer science and engineering systems were used in order to understand the topic. It is concluded that storing data in the digital age is carry out in concentrated and distributed form.
Libraries have long functioned as information repositories, providing access to it by collecting and preserving data. In the present, environment has changed, so libraries are challenged to contain an increasing volume of digital... more
Libraries have long functioned as information repositories, providing access to it by collecting and preserving data. In the present, environment has changed, so libraries are challenged to contain an increasing volume of digital information, hence the massive information technologies are needed. The aim of this paper is revising methods of storage systems for massive data; therefore, four types of data storage technologies, which are DAS, NAS, SAN and cloud storage are described and analyzed using the documentary method. It was found scarce literature on digital storage systems viewed from the perspective of information science; for this reason, publications in the field of computer science and engineering systems were used in order to understand the topic. It is concluded that storing data in the digital age is carry out in concentrated and distributed form.
System success is considered to be an important element in accomplishing the goals of the organization, therefore evaluation of system success need to be done to ensure that investment in IS is successful. Most of the Higher Learning... more
System success is considered to be an important element in accomplishing the goals of the organization, therefore evaluation of system success need to be done to ensure that investment in IS is successful. Most of the Higher Learning Institutions (HLIs) in Tanzania have adopted the use of IS in providing service to their customers. Nevertheless, there is less evidence that system success evaluation has been done in order to identify the desired characteristics which could make IS more effective. Due to that, this study evaluates the effectiveness of Student Information System (SIS) used at the Institute of Finance Management using DeLone and McLean’s Model. Convenience sampling technique was employed to select respondents from the Institute of Finance Management. A total of 391 complete and valid questionnaires were employed in data analysis. IBM SPSS software was used to analyze the hypothesized relationships between the variables. The findings show that system quality, information...
In recent years, NoSQL database systems have become increasingly popular, especially for big data, commercial applications. These systems were designed to overcome the scaling and flexibility limitations plaguing traditional relational... more
In recent years, NoSQL database systems have become increasingly popular, especially for big data, commercial applications. These systems were designed to overcome the scaling and flexibility limitations plaguing traditional relational database management systems (RDBMSs). Given NoSQL database systems have been typically implemented in large-scale distributed environments serving large numbers of simultaneous users across potentially thousands of geographically separated devices, little consideration has been given to evaluating their value within single-box environments. It is postulated some of the inherent traits of each NoSQL database type may be useful, perhaps even preferable, regardless of scale. Thus, this paper proposes criteria conceived to evaluate the usefulness of NoSQL systems in small-scale single-box environments. Specifically, key value, document, column family, and graph database are discussed with respect to the ability of each to provide CRUD transactions in a single-box environment.
