• Journal of KIISE
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• v.43 no.12
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• pp.1385-1395
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• 2016

In the era of Big Data, NoSQL databases provide solutions for problems, circumventing the limitations of traditional relational databases by using new architectures and data model. Contrary to relational database products, the range of the features architectures, and limitations of NoSQL databases is very broad. Thus, choosing the right database products requires more considerations and difficulties. The advent of NoSQL does not only promote the abundance of NoSQL products, but also stimulates the relational database realm to expand their features beyond the relational model. In order to understand NoSQL trends more accurately, here we discuss and compare NoSQL databases with relational databases. We also present the newest features associated with NoSQL in one of the most advanced open-source relational databases, PostgreSQL. To discuss future directions for PostgreSQL we analyzed the performance of NoSQL and PostgreSQL by conducting experiments using the NoSQL benchmark tool (YCSB).

• Journal of Digital Contents Society
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• v.6 no.2
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• pp.107-112
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• 2005

We need a research for representing and processing of multimedia data in database because of increasing the importance and utilization of the data owing to development of internet technology. RDBMS supports only the storing-structure to store multimedia, but the support for data type, representation and query of multimedia is insufficient. To cope with this problem, ISO/IEC standardized SQL multimedia(SQL/MM) for multimedia data. However, ORDBMS supports SQL/MM, but RDBMS does not support it. Therfore, this theis proposes a query interpreter to support SQL/MM in MS-SQL 2000 as one of RDBMS and introduces a image retrieval application using it. The quary interpreter supports the function to convert SQL/MM into SQL, and additionally the function of the image duplication check. The image processing application using a query interpreter can easily be integrated and operated with traditional RDBMS-based system.

• Journal of Internet Computing and Services
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• v.25 no.3
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• pp.35-41
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• 2024

As online activities have rapidly increased due to recent digital changes and the impact of COVID-19, the importance of large-scale data processing and maintenance is increasing. This study compares the performance of the two main types of databases widely used for data storage and management: Relational Database Management Systems (RDBMS) and Non-Relational Databases (NoSQL). Specifically, we measured and evaluated the execution time of data insertion, query, and deletion functions using MySQL, a representative example of RDBMS, and Redis, a representative example of NoSQL. The experimental results showed that Redis showed performance about 5.84 times faster in data insertion, 6.61 times faster in query, and 12.33 times faster in deletion than MySQL. These results demonstrate that Redis provides superior performance, especially in environments requiring large-scale data processing and maintenance. Therefore, companies and online service providers can choose NoSQL databases such as Redis to ensure more efficient data management solutions. We hope this study will be an essential reference when selecting a database based on data processing performance.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.223-225
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• 2013

For a long time, Relational Databases have been widely used in many enterprises. Even though the Relational Databases have merits such as excellent power of data preservation, concurrency controlling as a standard model in databases, there are a demerit in the inconsistency of objects and relations. Against this backdrop, NoSQL is being magnified as a new solution for Big Data since it can be operated without any schema. In this paper, we research on not only merits and demerits of Relational Databases but also the comparison between application databases and integrated databases. And then, we define NoSQL for Big Data and check its characteristics.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.9
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• pp.349-354
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• 2014

Since Hadoop which is the Big-data processing platform was announced, SQL-on-Hadoop is the spotlight as the technique to analyze data using SQL on Hadoop. Tajo created by Korean programmers has recently been promoted to Top-Level-Project status by the Apache in April and has been paid attention all around world. Despite a sensible change caused by Hadoop's appearance in DW market, researches of those performance is insufficient. Thus, this study has been conducted to help choose a DW solution based on SQL-on-Hadoop as progressing the test on comparison analysis of RDBMS and Tajo. It has shown that Tajo based on Hadoop is more superior than RDBMS if it is used with accurate strategy. In addition, open-source project Tajo is expected not only to achieve improvements in technique due to active participation of many developers but also to be in charge of an important role of DW in the filed of data analysis.

• Journal of the Korea Society of Computer and Information
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• v.14 no.1
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• pp.35-45
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• 2009

According to the widespread use of ontology documents, a management system which store ontology data and process queries is needed for retrieving semantic information efficiently. In this paper I propose a storage schema that stores and retrieves semantic web documents based on RDF/RDFS ontology language developed by W3C in a relational databases. Specially, the proposed storage schema is designed to retrieve efficiently hierarchy information and to increase efficiency of query processing. Also, I describe a mechanism to transform RQL semantic queries to SQL relational queries and build up database using MS-ACCESS and implement in this paper. According to the result of implementation, we can blow that not only data query based on triple model but also query for schema and hierarchy information are transformed simply to SQL.

• Journal of the Korea Society of Computer and Information
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• v.9 no.2
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• pp.57-62
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• 2004

In these days, application systems for processing information using database is increasing. Enterprises holding a lot of data do not possess needed data but instead include unrelated, independent and individual data. As a result, it only contains disparate data. Disparate data is ambiguous and it does not support current integrated information. In response to the above problems, data warehouse may provide a solution. Building a data warehouse needs a systematic design because of its complexity. This paper describes an efficient design methodology using visual environment for data warehouse to cope with the requirements of end users. Also, the system is able to process existential SQL query.

• IEIE Transactions on Smart Processing and Computing
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• v.5 no.2
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• pp.94-99
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• 2016

Application layer attacks have for years posed an ever-serious threat to network security, since they always come after a technically legitimate connection has been established. In recent years, cyber criminals have turned to fully exploiting the web as a medium of communication to launch a variety of forbidden or illicit activities by spreading malicious automated software (auto-ware) such as adware, spyware, or bots. When this malicious auto-ware infects a network, it will act like a robot, mimic normal behavior of web access, and bypass the network firewall or intrusion detection system. Besides that, in a private and large network, with huge Hypertext Transfer Protocol (HTTP) traffic generated each day, communication behavior identification and classification of auto-ware is a challenge. In this paper, based on a previous study, analysis of auto-ware communication behavior, and with the addition of new features, a method for classification of HTTP auto-ware communication is proposed. For that, a Not Only Structured Query Language (NoSQL) database is applied to handle large volumes of unstructured HTTP requests captured every day. The method is tested with real HTTP traffic data collected through a proxy server of a private network, providing good results in the classification and detection of suspicious auto-ware web access.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.30B no.4
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• pp.11-20
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• 1993

In the new database applications such as office information systems, CAD/CAM, and AI, it is required to support not only fixed Is-A and Part-Of relationships but also various user-defined dynamic relationships including complicate constraints. However, existing object-oriented systems have many weaknesses in managing those complex relationships. This paper presents the Object-Oriented Relationship data Model (OORM) which is designed to provide facilities for modeling complex relationships into object oriented databases using abstraction concept. In the model, various integrity and consistency constraints related to the relationships can be also represented. And this paper presents a query language, ORSQL(Object Relationship SQL). ORSQL is a nonprocedural query language having similiar syntax to the standard SQL and supporting OORM's operations.

• Journal of Korea Multimedia Society
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• v.11 no.12
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• pp.1758-1764
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• 2008

In this paper, we propose query restructure method which realizes not only to present the result from database in Web page but also to adapt user's browsing environments. Recently, wireless PDA (Personal Digital Assistant) and portable phone and terminals equipped with Web browser become very popular. Various browsers would be required to create the HTML which adapt to the user's browsing environment. We propose an adaptive data presentation system which is an extension of SQL which creates HTML pages dynamically adapting to the size of screen. In our proposed method, the three basic rules for the layout conversion are provided and applying these rules, an efficient layout conversion technique optimized to user environment is proposed. Moreover, we propose a standard for converting layouts and a layout optimization for adaptive conversion of layouts.