Data Migration Need, Strategy, Challenges, Methodology, Categories, Risks, Uses with Cloud Computing, and Improvements in Its Using with Cloud Using Suggested Proposed Model (DMig 1)

Hussein, Abou_el_ela Abdou

doi:10.4236/jis.2021.121004

Cited by 8 publications

(3 citation statements)

References 14 publications

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“…In the present state of environment, it is not sufficient for a firm to place a recyclable bin within the break room and claim that the firm is doing the possibilities to help the planet in a more superior way. Authentic sustainability needs solutions that denote wastefulness at every stage of a business [13]. By conducting over the cloud is more preferable for the mature and it causes less rate of carbon footprint.…”

Section: Sustainabilitymentioning

confidence: 99%

Fundamentals of Designing and Building Cloud Environments

Jain¹,

zuber²

2022

TTITCCR

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This following study is based on the fundamentals of designing and building cloud environments and all types of valid data has been collected to evaluate study in a proper manner. At the beginning of the study, an introduction of the cloud environment has been depicted in proper manner and in this section; the concept has been clarified by collecting valid and reliable sources. Also, several types of data have been gathered which are related with the use of cloud environments in IoT devices and several types of business organizations. The data which has been collected for this study is secondary by nature and the data has been collected by following a qualitative approach. Also inductive research design has been followed in this following study. For this following study, three themes have been developed and first theme is based on the concept of the cloud environment and then the importance of cloud environment in IoT devices and business organizations have been showcased in a proper manner. Also, the use of cloud computing has been discussed with elaboration and the fundamentals of designing and building cloud environments has been depicted with valid insights. Keyword : Cloud environment, cloud computing, IoT devices, business organization

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Section: Sustainabilitymentioning

confidence: 99%

Fundamentals of Designing and Building Cloud Environments

Jain¹,

zuber²

2022

TTITCCR

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“…Recently, most businesses and organizations alternatively migrate existing data from proprietary data management systems to open-source ones [30]. Due to the complexity and difficulty of data migration, the business or organization may cease services or fail [31]. Without applying an appropriate data migration technique, a failed data migration can result in unreliable data, service interruptions, financial losses, and brand damage [32].…”

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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“…it simply moves an unassuming amount of data from the old plate to the new circle to recuperate I/O load changing among all plates including old and new. various huge concentrations in data migration as Techniques Troubles, needs, frameworks, Classes, Risks, and Uses with Disseminated registering [13] [14]. issues, for instance, growing the number of association visits will be thwarted.…”

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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Data Migration Need, Strategy, Challenges, Methodology, Categories, Risks, Uses with Cloud Computing, and Improvements in Its Using with Cloud Using Suggested Proposed Model (DMig 1)

Cited by 8 publications

References 14 publications

Fundamentals of Designing and Building Cloud Environments

Fundamentals of Designing and Building Cloud Environments

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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