A Hybrid Database Approach Using Graph and Relational Database

Vyawahare, Harsha R.; Karde, Pravin; Thakare, V. M.

doi:10.1109/rice.2018.8509057

Cited by 21 publications

(10 citation statements)

References 10 publications

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“…This approach removes the strict framework and allows you to achieve flexibility by using tools that are best suited for the needs and tasks of the application parts. Alongside Polyglot Persistence, NoSQL techniques are now being introduced into classical relational databases, such as MS SQL Server and PostgreSQL [46]. In particular, there are new data types that can be stored in columns, for example, JSON documents (JavaScript Object Notation) [45].…”

Section: Nosql and Sqlmentioning

confidence: 99%

Supercomputing Technologies as Drive for Development of Enterprise Information Systems and Digital Economy

Loginovsky

Shestakov

Shinkarev

2020

JSFI

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The article presents an analysis of approaches to the development of enterprise information systems that are in use today. One of the major trends that predetermines the agenda of information technology is the focus on parallel computing of large volumes of data using supercomputing technologies. The article considers the resulting ubiquitous move to distributed patterns of building enterprise information systems and avoiding monolithic architectures. The emphasis is placed on the importance of such fundamental characteristics of enterprise information systems as reliability, scalability, and maintainability. The article justifies the importance of machine learning in the context of effective big data analysis and competitive gain for business, vital for both maintaining a leading position in the market and surviving in conditions of global instability and digitalization of economy. Transition from storing the current state of a enterprise information system to storing a full log and history of all changes in the event stream is proposed as an instrument of achieving linearization of the data stream for subsequent parallel computing. There is a new view that is being shaped of specialists at the intersection of engineering and analytical disciplines, who would be able to effectively develop scalable systems and algorithms for data processing and integration of its results into company business processes.

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Section: Nosql and Sqlmentioning

confidence: 99%

Supercomputing Technologies as Drive for Development of Enterprise Information Systems and Digital Economy

Loginovsky

Shestakov

Shinkarev

2020

JSFI

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“…Graph Database (Graph DB), on the other hand, is a relatively new development and the analysis of this method has not been paid significant attention in academic literature. Among a few studies of this topic are [37], which provides a review of the advantages and the limitations of Graph DB, [18] and [19] which compare existing development programs, and [20], [21] and [22] which are evoted to the construction of the Graph DB themselves.…”

Section: Semantic Data Processing and Prediction Techniques: Related Workmentioning

confidence: 99%

Computational Modelling for Bankruptcy Prediction: Semantic Data Analysis Integrating Graph Database and Financial Ontology

Yerashenia

Bolotov

2019

2019 IEEE 21st Conference on Business Informatics (CBI)

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In this paper, we propose a novel intelligent methodology to construct a Bankruptcy Prediction Computation Model, which is aimed to execute a company's financial status analysis accurately. Based on the semantic data analysis and management, our methodology considers Semantic Database System as the core of the system. It comprises three layers: an Ontology of Bankruptcy Prediction, Semantic Search Engine, and a Semantic Analysis Graph Database system.The Ontological layer defines the basic concepts of the financial risk management as well as the objects that serve as sources of knowledge for predicting a company's bankruptcy. The Graph Database layer utilises a powerful semantic data technology, which serves as a semantic data repository for our model.The article provides a detailed description of the construction of the Ontology and its informal conceptual representation. We also present a working prototype of the Graph Database system, constructed using the Neo4j application, and show the connection between well-known financial ratios.We argue that this methodology which utilises state of the art semantic data management mechanisms enables data processing and relevant computations in a more efficient way than approaches using the traditional relational database. These give us solid grounds to build a system that is capable of tackling the data of any complexity level.

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“…From the illustration, it can be viewed a transition will occur on the fulfillment of requirements by the hybrid database instead of original or hypothetically generated database. From the analysis of the following method, it is suggested that hypothetical rollback can be performed to any state rather than executing the action on the original database [29]. However, the time complexity of the roll back is quite efficient as it quickly reaches to the destination state as compared to traditional ways.…”

Section: ) Request Initiated By End User / Customer / Online Ordermentioning

confidence: 99%

Efficient Software Testing Technique based on Hybrid Database Approach

Aleem¹,

Mahmood²,

Mubashir³

2019

IJACSA

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In the field of computer science, software testing is referred as a critical process which is executed in order to assess and analyze the performance and risks existing in software applications. There is an emphasis on integrating specific approaches to carry out testing activities in an effective mode; the efficient strategy being explored recently is adopting hybrid database approach. For this purpose, a hybrid algorithm will be proposed to ensure the functionality and outcomes of testing procedure. The technical processes and its impact on current methodology would help to evaluate its effectiveness in software testing through which specific conclusions could be drawn. The findings of the research will elaborate effectiveness of the proposed algorithm that would be used in software testing. It would be suggested that new technology is easier and simple to assess and analyze the reliability of the software. Basically, hybrid database approach comprises of traditional and modern techniques that are deployed in order to achieve testing outcomes. It is explored from various testing methods that challenges have been identified related to focusing on traditional techniques due to which hybrid approach is now being developed in most of the areas. In the light of addressing these concepts, the paper aims to investigate the complexity and efficiency of hybrid database approach in software testing, as well as its scope in the IT industry.

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A Hybrid Database Approach Using Graph and Relational Database

Cited by 21 publications

References 10 publications

Supercomputing Technologies as Drive for Development of Enterprise Information Systems and Digital Economy

Supercomputing Technologies as Drive for Development of Enterprise Information Systems and Digital Economy

Computational Modelling for Bankruptcy Prediction: Semantic Data Analysis Integrating Graph Database and Financial Ontology

Efficient Software Testing Technique based on Hybrid Database Approach

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