Extending the National Lake Database of Malaysia (MyLake) as a Central Data Exchange using Big Data Integration

Yahya, Farashazillah; Fazli, Bashirah Mohd; Abdullah, Mohd Fikri; Zulkifli, Harlisa

doi:10.1145/3352411.3352417

Cited by 3 publications

(2 citation statements)

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“…This barrier comes from the the uncertainty from incomplete information which causes noise in the dataset which can hamper the accuracy of analytic results [57]. Data com patibility has also become a primary concern in the process of data integration and interoperability between 2 different data architecture [40]. According to Adnan et al [34], the use of data 511 from 2 different systems can cause problems in data integration due to diversity in data type and lack of harmonization between different data.…”

Section: Complexity and Compatibilitymentioning

confidence: 99%

“…According to Adnan et al [34], the use of data 511 from 2 different systems can cause problems in data integration due to diversity in data type and lack of harmonization between different data. A study had proposed the use middleware to integrate the spatial and non-spatial data in National Lake Database of Malaysia (MyLake) [40]. The proposed middleware model can improve the interaction between integration layer and provider.…”

Section: Complexity and Compatibilitymentioning

confidence: 99%

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Challenges in big data adoption for Malaysian organizations: a review

Qi Zian,

Zareen Zulkarnain,

Jaya Kumar

2024

IJEECS

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<p><span>Big data has played an ever-increasing role in various sectors of the economy. Despite the availability of big data technologies, many companies and organizations in Malaysia remain reluctant to adopt them. Numerous studies have been published on big data adoption; however, there is a lack of research focusing on identifying the challenges faced by Malaysian organizations. Therefore, this study will implement the technology-organization-environment (TOE) framework to examine the challenges faced by Malaysian organizations with regards to big data adoption. A systematic literature review (SLR) was conducted to examine the challenges. From the result of this study, it was found that the factors from technology context are deemed to be the major challenge faced in big data adoption followed by organization and environment factors. Furthermore, the insights derived from the TOE framework-based information can help address concerns that hinder big data adoption among organizations in Malaysia. Finally, this study concludes with several recommendations.</span></p>

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Section: Complexity and Compatibilitymentioning

confidence: 99%

Section: Complexity and Compatibilitymentioning

confidence: 99%