Without Data Quality, There Is No Data Migration

Azeroual, Otmane; Jha, Meena

doi:10.3390/bdcc5020024

Cited by 13 publications

(9 citation statements)

References 19 publications

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“…In study [14], cloud data migration is defined as the process of moving data, localhost applications, and services to the distributed cloud processing framework. Meanwhile, [15] argued that data migration is not just a process of moving data from an old data structure or database to a new one; it is also a process of correcting errors and improving overall data quality and functionality.…”

Section: Background and Related Workmentioning

confidence: 99%

A User Control Framework for Cloud Data Migration in Software as a Service

Injuwe,

Ibrahim,

Sidi

et al. 2024

IJACSA

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Cloud computing represents the overarching paradigm that enables organizations to leverage cloud services for data storage and application deployment. Nowadays, organizations that use the cloud services can migrate their data using software as a service (SaaS). The organizations' data and application are deployed over the cloud through the cloud data migration process of the on-premise to cloud migration; referring to the transition process from the legacy, locally hosted systems to cloud environment. Several data migration frameworks have emerged to guide users in the migration process. While numerous studies have addressed the importance of granting control to users during the cloud data migration process, a user control framework is yet to be created. Thereby, depriving user of visibility and sense of ownership, customization to meet users need, compliance and governance, and training. This paper aims at achieving this by proposing a conceptual user control framework for cloud data migration process in SaaS. The framework is constructed based on a comprehensive analysis conducted over existing research works that are related to cloud data migration with the aim to identify the steps/phases of data migration process, the factors affecting the user control with regard to the identified phases, and the control metrics of each identified factor. An initial conceptual user control framework is constructed based on the analysis of the literatures and further enhancement of the framework is made based on the expert reviews.

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Section: Background and Related Workmentioning

confidence: 99%

A User Control Framework for Cloud Data Migration in Software as a Service

Injuwe,

Ibrahim,

Sidi

et al. 2024

IJACSA

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“…Processing [15,51,52] Transparency in data migration refers to the visibility and clarity of the migration procedure. In contrast, transformation processing refers to the data and structure modifications and conversions performed during migration.…”

Section: Transparency and Transformationmentioning

confidence: 99%

“…Data migration is one of the data management functions and the most challenging task [9] for data-driven system implementation [10], consolidation, changes, and upgrades [11]. The principle of data migration enables data transfer from one or more storage spaces to the same or different computer system platforms or locations to improve data scalability, accessibility, and portability, as well as reducing the cost of information technology operations in businesses and organizations [12][13][14][15][16]. In recent years, numerous data migrations have been focused on storage [17], application [18], business process [19], DBMS [20,21], and platforms [13,[20][21][22].…”

Section: Introductionmentioning

confidence: 99%

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

Netinant,

Saengsuwan,

Rukhiran

et al. 2023

Sustainability

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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.

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“…Each period of the data development interaction ought to be gotten, similar to data exposure, portrayal, and ordering of permission to the essential data. Appropriated capacity organizations are brought together [7] [8]. part in data movement plans and ought not to disregard orders.…”

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

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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.

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Without Data Quality, There Is No Data Migration

Cited by 13 publications

References 19 publications

A User Control Framework for Cloud Data Migration in Software as a Service

A User Control Framework for Cloud Data Migration in Software as a Service

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

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

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