Passenger reviews reference architecture using big data lakes

Sankaranarayanan, Hari Bhaskar; Lalchandani, Jayprakash

doi:10.1109/confluence.2017.7943150

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Table VII lists the tools cited more than once. Of all the tools, Apache Hadoop was the most mentioned, having 37 citations ( [1], [6], [8], [9], [12], [18], [23]- [25], [27], [28], [30], [31], [40], [42]- [44], [47], [48], [50], [52], [55], [61], [65], [67]- [71], [73], [76], [80], [82]- [86], [88]). Hadoop is a platform that allows distributed processing of large data sets in computer clusters.…”

Section: Resultsmentioning

confidence: 99%

“…Initial Accepted Scopus 108 53 papers: [1]- [3], [5], [9], [10], [13]- [19], [23]- [29], [31]- [33], [37], [40], [45], [49], [50], [57], [60]- [66], [68], [70], [71], [73], [76]- [78], [81]- [84], [88], [90], [91], [93]- [95] Springer 222 20 papers: [4], [6], [12], [21], [30], [36], [38], [39], [41]- [43], [47], [51], [53], [69], [74], [79], [85], [86], [92] Google Scholar 197 6 papers:...…”

Section: Sourcementioning

confidence: 99%

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A Mapping Study about Data Lakes: An Improved Definition and Possible Architectures

Couto¹,

Borges²,

Ruiz³

et al. 2019

International Conferences on Software Engineering and Knowledge Engineering

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In the past few years, data lakes emerged as a trending topic in big data technologies. Although literature presents different points of view related to its functionalities, it serves mainly to store a variety of data in a big data context. In this paper, we aim to identify and analyze data lake definitions and possible architectures. Our methodology was composed of a systematic literature mapping based on PRISMA, software engineering best practices to perform reviews, and Kappa method to assess results' quality. We performed the search in eight different electronic databases to achieve a wide variety of publishers in Computer Science. We first identified 662 papers matching our search criteria; after filtering, we selected 87 papers for review. We found that the term data lakes was first defined by James Dixon in 2010. We also found that the term is often related to raw data repositories. From the identified definitions, we propose a new one as a means to better state what data lakes refer to and improve how the community use them. Moreover, we foind that Hadoop and its ecosystem compose the most used toolset to create data lakes, revealing that this is the mainstream in architectures for data lakes as of today's available technologies.

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Section: Resultsmentioning

confidence: 99%

Section: Sourcementioning

confidence: 99%

A Mapping Study about Data Lakes: An Improved Definition and Possible Architectures

Couto¹,

Borges²,

Ruiz³

et al. 2019

International Conferences on Software Engineering and Knowledge Engineering

View full text Add to dashboard Cite

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Data Platform for a Data-Driven Tourism Organization. A Conceptual Architecture

Vidal-Gil,

Carrasco-González,

Blasco-López

2024

Springer Proceedings in Business and Economics

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The tourism sector is one of the sectors that has undergone most changes in recent years due to digital transformation. One of the pillars of this transformation is the management of organizations based on data-driven decision making. The raw material for these data-driven strategies is, of course, the sources of information used, which have changed and grown significantly in recent years. This article attempts to provide a conceptual architecture for a modern data platform that effectively manages and analyses these information sources and facilitates data-driven decision-making in tourism organizations.

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Passenger reviews reference architecture using big data lakes

Cited by 2 publications

References 9 publications

A Mapping Study about Data Lakes: An Improved Definition and Possible Architectures

A Mapping Study about Data Lakes: An Improved Definition and Possible Architectures

Data Platform for a Data-Driven Tourism Organization. A Conceptual Architecture

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