Influencing Migration Processes by Real-Time Data

Čerešňák, Roman; Dudáš, Adam

doi:10.23919/fruct50888.2021.9347581

Cited by 4 publications

(4 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Compatibility [19,46] Compatibility refers to the ability to successfully transfer data and functionality from one data management system to another without losing functionality, compromising data integrity, or requiring significant changes to the application code. This factor pertains to the assurance that the target data management system has the necessary capabilities to manage data competently and meet application requirements.…”

Section: Criteria Descriptionmentioning

confidence: 99%

“…The data migration from commercial to open-source data management systems significantly impacted the organization's business and technological characteristics. The target data system provides enhanced performance, scalability, and durability, resulting in improved data management processing and storage capabilities, supported by [46,56]. With the target data management system's support for multiple platforms, such as Windows, Linux, and macOS, the organization gains flexibility and reduced reliance on a particular Microsoft operating system.…”

Section: Data Migration's Impact On Efficient Business and Technologymentioning

confidence: 99%

“…This study demonstrates the most critical concerns for data migration using the proposed framework to ensure a high level of practical evaluation during the migration process. The data migration's effects on data compatibility [19,46], transformation [47], integrity [48], performance optimization [19,21,49], licensing and cost [21,49], accuracy [21,50,51], dependability [48,49], transparency and transformation processing [15,51,52], and persistent operations [15,51,52,62] supported one of the primary benefits. In addition, novel and effective evaluation metrics were utilized to evaluate the migration's success regarding data integrity, consistency, and accuracy.…”

Section: Successful Data Migration Of Data Validity and High Availabi...mentioning

confidence: 99%

See 2 more Smart Citations

Enhancing Data Management Strategies with a Hybrid Layering Framework in Assessing Data Validation and High Availability Sustainability

Netinant,

Saengsuwan,

Rukhiran

et al. 2023

Sustainability

View full text Add to dashboard Cite

Individuals and digital organizations deal with a substantial amount of collected data required for performing various data management strategies, such as replacing, upgrading, and migrating existing data from one system to another, while supporting the data’s complexity, authenticity, quality, and precision. Failures in data migration can result in data and service interruptions, financial losses, and reputational harm. This research aims to identify the specific challenges of a data management strategy, develop a comprehensive framework of data migration practices, and assess the efficacy of data validation and high availability for optimizing complex data and reducing the need to minimize errors during data migration. Combining trickle and zero-downtime migration techniques with a layering approach, a hybrid-layering framework was designed to encompass the entire spectrum of data migration techniques, beginning with system requirements and data transformation, rigorous functions, and evaluation metrics for sustainable data validation. The evaluation metric criteria are defined to evaluate data migration based on data consistency, integrity, quality, accuracy, and recall. The experiment demonstrated a real-world scenario involving a logistics company with 222 tables and 4.65 GB of data. The research compared various data migration strategies. The outcomes of the hybrid-layering framework’s examination of the final system’s functionality are satisfactory, emphasizing the critical importance of data migration sustainability to ensure data validity and high availability. This study is useful for individuals and organizations seeking to sustainably improve their data management strategies to minimize disruptions while preserving data integrity.

show abstract

Section: Criteria Descriptionmentioning

confidence: 99%

Section: Data Migration's Impact On Efficient Business and Technologymentioning

confidence: 99%

Section: Successful Data Migration Of Data Validity and High Availabi...mentioning

confidence: 99%

See 1 more Smart Citation

Enhancing Data Management Strategies with a Hybrid Layering Framework in Assessing Data Validation and High Availability Sustainability

Netinant,

Saengsuwan,

Rukhiran

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…Cloud development is the apex point where the cloud boss meets with basic issues at the hour of data movement beginning with one association's server and afterward onto the following server. In this survey, simply the work depiction, and Fat records of the legacy structure were considered, but if a plan for each step is described from this point forward, it will, in general, be made as a standard framework for data movement [25] [26] [27].…”

Section: Introductionmentioning

confidence: 99%

Data Migration from Visual Basic Interfaces to Excel Tables Prevent Conflict Using Proposed Models

Hashim

2022

International Journal of Computational and Applied Mathematics &Amp; Computer Science

View full text Add to dashboard Cite

In relational and complex spreadsheets, relational and non-relational database models, high-speed data migration with scalable structure using visual Basic Excel programming language implementations with proposed migration model. One of the primary purposes behind making a point of interaction through the Visual Basic Application (VBA) is that most PC clients with logical preparation will currently know about Succeed and its significant capabilities (like arranging furthermore, plotting datasets). Even though Excel itself is in many cases utilized as an information storehouse by clients. The time factor, reliability, and credibility of migrating this data from one table to another through programming interfaces were measured using the link codes between the tables. In this paper, the migration and migration of homogeneous and heterogeneous data are investigated by using two types of different migration models of data to measure and match these data and the extent of their integration after migration. Specifies the target data for migration from the input tables in the Excel program to the target tables in larger databases. Furthermore, the two models (A, B) middleware provide an architecture that can be extended to support Relational database management systems (RDBMS) and other graphing databases. Experiments were performed using excel tables, both of which are related as source information bases, and as the data set for the source and target datasets, the migration time between these tables for the two models was calculated While retaining the same characteristics.

show abstract