scholarly journals Deductive systems for BigData integration

2018 ◽  
Vol 7 (1) ◽  
pp. 49
Author(s):  
Radu BUCEA-MANEA-TONIS

The globalization is associated with an increased data to be processed from E-commerce transactions. The specialists are looking for different solutions, such as BigData, Hadoop, Datawarehoues, but it seems that the future is the predicative logic implemented through deductive database technology. It has to be done the swift from imperative languages, to not declaratively languages used for the application development. The deductive databases are very useful in the student teaching programs, too. Thus, the article makes a consistent literature review in the field and shows practical examples of using predicative logic in deductive systems, in order to integrate different kind of data types.    

2009 ◽  
Vol 7 (1) ◽  
pp. 1-24 ◽  
Author(s):  
Patricia Halagao ◽  
Allyson Tintiangco-Cubales ◽  
Joan Cordova

This research study provides the first comprehensive and critical literature review of K–12 Filipina/o American curricula found in formal and informal educational settings. Thirty-three Filipina/o American curricula representing a diverse array of authors, audiences, content, and pedagogical approaches were reviewed. The authors of this study developed a “Critical Framework of Review” rooted in critical pedagogy in order to analyze the historical development of Filipina/o American curricula along with an analysis of major topics, concepts, guiding theoretical frameworks, pedagogical approaches, and outcomes. The review concludes with a discussion and summary of the overarching themes of Filipina/o curricular content, instruction, and impact gained from this study and recommendations for the application, development, distribution, and research of more Filipina/o American K–12 curriculum resources.


2021 ◽  
Vol 11 (6) ◽  
pp. 2850
Author(s):  
Dalibor Dobrilovic ◽  
Vladimir Brtka ◽  
Zeljko Stojanov ◽  
Gordana Jotanovic ◽  
Dragan Perakovic ◽  
...  

The growing application of smart manufacturing systems and the expansion of the Industry 4.0 model have created a need for new teaching platforms for education, rapid application development, and testing. This research addresses this need with a proposal for a model of working environment monitoring in smart manufacturing, based on emerging wireless sensor technologies and the message queuing telemetry transport (MQTT) protocol. In accordance with the proposed model, a testing platform was developed. The testing platform was built on open-source hardware and software components. The testing platform was used for the validation of the model within the presented experimental environment. The results showed that the proposed model could be developed by mainly using open-source components, which can then be used to simulate different scenarios, applications, and target systems. Furthermore, the presented stable and functional platform proved to be applicable in the process of rapid prototyping, and software development for the targeted systems, as well as for student teaching as part of the engineering education process.


2018 ◽  
Author(s):  
Larysse Silva ◽  
José Alex Lima ◽  
Nélio Cacho ◽  
Eiji Adachi ◽  
Frederico Lopes ◽  
...  

A notable characteristic of smart cities is the increase in the amount of available data generated by several devices and computational systems, thus augmenting the challenges related to the development of software that involves the integration of larges volumes of data. In this context, this paper presents a literature review aimed to identify the main strategies used in the development of solutions for data integration, relationship, and representation in smart cities. This study systematically selected and analyzed eleven studies published from 2015 to 2017. The achieved results reveal gaps regarding solutions for the continuous integration of heterogeneous data sources towards supporting application development and decision-making.


2021 ◽  
Vol 14 (11) ◽  
pp. 2483-2490
Author(s):  
Maximilian Bandle ◽  
Jana Giceva

A wealth of technology has evolved around relational databases over decades that has been successfully tried and tested in many settings and use cases. Yet, the majority of it remains overlooked in the pursuit of performance (e.g., NoSQL) or new functionality (e.g., graph data or machine learning). In this paper, we argue that a wide range of techniques readily available in databases are crucial to tackling the challenges the IT industry faces in terms of hardware trends management, growing workloads, and the overall complexity of a rapidly changing application and platform landscape. However, to be truly useful, these techniques must be freed from the legacy component of database engines: relational operators. Therefore, we argue that to make databases more flexible as platforms and to extend their functionality to new data types and operations requires exposing a lower level of abstraction: instead of working with SQL it would be desirable for database engines to compile, optimize, and run a collection of sub-operators for manipulating and managing data, offering them as an external interface. In this paper, we discuss the advantages of this, provide an initial list of such sub-operators, and show how they can be used in practice.


1994 ◽  
Vol 03 (04) ◽  
pp. 385-413 ◽  
Author(s):  
ADNAN YAHYA ◽  
JACK MINKER

Query evaluation in disjunctive deductive databases is in general computationally hard. The class of databases for which the process is tractable is severely limited. The complexity of the process depends on the structure of the database as well as on the type of query being evaluated. In this paper we study the issue of simplified query processing in disjunctive deductive databases. We address the possibility of evaluating general queries by independently processing their atomic components and describe the class of databases for which this approach is possible. We also discuss the issue of dividing a disjunctive deductive database into a set of disjoint components then answering queries and computing database completions by combining the results obtained against the individual components. Some practical special cases are considered. The methods developed in this paper can be utilized to introduce parallelism into the query evaluation process.


1961 ◽  
Vol 12 (1) ◽  
pp. 97-100
Author(s):  
Rodney M. Jones

2014 ◽  
Vol 998-999 ◽  
pp. 1203-1206
Author(s):  
Wu Xue Jiang ◽  
Guang Zai Ye ◽  
Min Xia Liu

Aiming to improve the efficiency of access to remote database in the virtual laboratory design, the paper analyzes features and shortness of the LabView to have access to remote database and elaborates methods and programming model for LabSQL to implement database access and proposes the integrated application strategy of the LabSQL toolkit and ADO technology. Combined with a network virtual laboratory’s application development, the paper provides access steps based on LabSQL database and virtual laboratory’s design process and it is proved that the program is easy to implement and easy to use.


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