scholarly journals Metodologia de Desenvolvimento de Jogos Sérios: especificação de ferramentas de apoio open source

2017 ◽  
Vol 24 (03) ◽  
pp. 109
Author(s):  
Rafaela Vilela da Rocha ◽  
Aparecida Maria Zem-Lopes ◽  
Laís Zagatti Pedro ◽  
Ig Ibert Bittencourt ◽  
Seiji Isotani
Keyword(s):  
Performance Evaluation ◽  
Open Source ◽  
Serious Games ◽  
Database Management ◽  
Human Performance ◽  
Management Systems ◽  
Financial Cost ◽  
Design And Implementation ◽  
Support Tools ◽  
Game Engines

Serious games are being used ever more for purposes of learning, training and human performance evaluation. However, to be successful as a final product, its development has to be systematic and multi-disciplinary. Thus, the choice of support tools impact beyond the financial cost. This paper describes an overview of the iterative and integrative methodology for developing serious games, expanding the specification with open source tools. Appropriate tools are reviewed and selected in order to provide a set of applications that could be used according to serious games design needs.They are grouped into support tools to general use, database management systems, game engines, design and implementation. In addition, the uses of this methodology and these tools are exemplified with two different scenarios.

scholarly journals Oracle 19c, SQL Server 2019, Postgresql 12 and MySQL 8 database systems comparison

2020 ◽  
Vol 17 ◽  
pp. 373-378
Author(s):  
Arkadiusz Solarz ◽  
Tomasz Szymczyk
Keyword(s):  
Comparative Analysis ◽  
Open Source ◽  
Database Management ◽  
Database Systems ◽  
Sql Server ◽  
Management Systems ◽  
Database Schema ◽  
Oracle Database ◽  
Server Systems ◽  
Test Scenarios

This article presents a comparative analysis of four popular database technologies. Commercial Oracle Database and SQL Server systems are compared with open source database management systems: PostgreSQL and MySQL. These systems have been available on the market for over a dozen years. Versions released in 2019 were selected for testing and comparasion. For the purposes of the comparative analysis, a database schema was developed and instantiated. Then, test scenarios were developed. They were prepared on the basis of the most popular operations performed with the use of database systems.

Open Source Database Management Systems

2005 ◽  
pp. 457-462 ◽  
Author(s):  
Sulayman K. Sowe ◽  
Ioannis Samoladas ◽  
Ioannis Stamelos
Keyword(s):  
Software Development ◽  
Open Source ◽  
Open Source Software ◽  
Database Management ◽  
Database Management Systems ◽  
Management Systems ◽  
Free Open Source Software ◽  
Source Database ◽  
1960S And 1970S ◽  
Free Open Source

This article discusses open source database management systems (OSDBMS) trends from two broad perspectives. First, the software engineering discipline platform on which databases are built has recently witnessed a new form of software development—Free/Open Source Software Development (F/OSSD). Methodically, the F/OSSD paradigm has changed the way relational databases, initiated in the 1960s and 1970s, are developed, distributed, supported, and maintained. Second, commercial relational database management systems (RDBMS) still dominate the database market because, on one hand, vendors and users are skeptical of the boon of applications developed and distributed under the F/OSSD paradigm, and on the other hand, it has been argued that OSDBMS are not likely to follow the successful trend of other robust Free/Open Source Software (F/OSS) systems (Linux, Apache, etc.). This article presents trends in OSDBMS by looking at the morphology and landscape of the type of applications developed by the F/OSS community. Implementation of F/OSS strategies and factors mitigating the adoption and utilization of OSDBMS are explored by looking at the interactions between the F/OSSD process and database firms, vendors, and users.

scholarly journals Overview of Modern Nosql Database Management Systems. Case Study: Apache Cassandra

2018 ◽  
Vol 9 (1) ◽  
pp. 83-86
Author(s):  
Katalin Ferencz
Keyword(s):  
Open Source ◽  
Database Management ◽  
Query Language ◽  
Distributed Database ◽  
Database Management Systems ◽  
Sensor Data ◽  
Management Systems ◽  
Database Server ◽  
Server Software ◽  
Iot Devices

Abstract The wide spread of IoT devices makes possible the collection of enormous amounts of sensor data. Traditional SQL (structured query language) database management systems are not the most appropriate for storing this type of data. For this task, distributed database management systems are the most adequate. Apache Cassandra is an open source, distributed database server software that stores large amounts of data on low-coast servers, providing high availability. The Cassandra uses the gossip protocol to exchange information between the distributed servers. The query language used is the CQL (Cassandra Query Language). In this paper we present an alternative solution to traditional SQL-based database management systems - the so called NoSQL type database management systems, summarize the main types of these systems and provide a detailed description of the Apache Cassandra open source distributed database server installation, configuration and operation.

scholarly journals A Survey of Open Source Tools for Business Intelligence

2011 ◽  
pp. 237-257
Keyword(s):  
Open Source ◽  
Business Intelligence ◽  
Database Management ◽  
Database Management Systems ◽  
Management Systems ◽  
Survey Article ◽  
On Line ◽  
Analytical Processing ◽  
Industrial Use ◽  
On Line Analytical Processing

The industrial use of open source Business Intelligence (BI) tools is becoming more common, but is still not as widespread as for other types of software. It is therefore of interest to explore which possibilities are available for open source BI and compare the tools. In this survey article, we consider the capabilities of a number of open source tools for BI. In the article, we consider a number of Extract- Transform-Load (ETL) tools, database management systems (DBMSs), On-Line Analytical Processing (OLAP) servers, and OLAP clients. We find that, unlike the situation a few years ago, there now exist mature and powerful tools in all these categories. However, the functionality still falls somewhat short of that found in commercial tools.

scholarly journals A Survey of Open Source Tools for Business Intelligence

2010 ◽  
pp. 624-644
Author(s):  
Christian Thomsen ◽  
Torben Bach Pedersen
Keyword(s):  
Open Source ◽  
Business Intelligence ◽  
Database Management ◽  
Database Management Systems ◽  
Management Systems ◽  
Survey Article ◽  
On Line ◽  
Analytical Processing ◽  
Industrial Use ◽  
On Line Analytical Processing

The industrial use of open source Business Intelligence (BI) tools is becoming more common, but is still not as widespread as for other types of software. It is therefore of interest to explore which possibilities are available for open source BI and compare the tools. In this survey article, we consider the capabilities of a number of open source tools for BI. In the article, we consider a number of Extract-Transform-Load (ETL) tools, database management systems (DBMSs), On-Line Analytical Processing (OLAP) servers, and OLAP clients. We find that, unlike the situation a few years ago, there now exist mature and powerful tools in all these categories. However, the functionality still falls somewhat short of that found in commercial tools.

Fuzzy Querying Capability at Core of a RDBMS

2011 ◽  
pp. 160-184 ◽  
Author(s):  
Ana Aguilera ◽  
José Tomás Cadenas ◽  
Leonid Tineo
Keyword(s):  
Open Source ◽  
Relational Database ◽  
Management System ◽  
Database Management ◽  
Database Management System ◽  
Experimental Results ◽  
Relational Database Management System ◽  
Design And Implementation ◽  
Fuzzy Query ◽  
Relational Database Management

This chapter is focused in incorporating the fuzzy capabilities to a relational database management system (RDBMS) of open source. The fuzzy capabilities include connectors, modifiers, comparators, quantifiers, and queries. The extensions consider a more flexible DDL and DML languages. The aim is to show the design and implementation details in the RDBMS PostgreSQL. For this, a fuzzy query processor and fuzzy access mechanism has been designed and implemented. The physical fuzzy relational operators have been also defined and implemented. The flow of a fuzzy query through the different modules (parser, planner, optimizer, and executor) has been shown. Some experimental results have been included to demonstrate the performance of the proposal solution. These results show that the extensions have not decreased the performance of the RDBMS.

A Generalized Comparison of Open Source and Commercial Database Management Systems

2011 ◽  
pp. 296-304
Author(s):  
Theodoros Evdoridis
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Database Management ◽  
Database Management Systems ◽  
Management Systems ◽  
Commercial Products ◽  
Database Model ◽  
Source Database ◽  
Main System ◽  
Closed Source

This chapter attempts to bring to light the field of one of the less popular branches of the open source software family, which is the open source database management systems branch. In view of the objective, the background of these systems will first be briefly described followed by presentation of a fair generic database model. Subsequently and in order to present these systems under all their possible features, the main system representatives of both open source and commercial origins will be compared in relation to this model, and evaluated appropriately. By adopting such an approach, the chapter’s initial concern is to ensure that the nature of database management systems in general can be apprehended. The overall orientation leads to an understanding that the gap between open and closed source database management systems has been significantly narrowed, thus demystifying the respective commercial products.

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