NoSQL Big Data Warehouse: Review and Comparison

Bouaziz, Senda; Nabli, Ahlem; Gargouri, Faı̈ez

doi:10.1007/978-3-030-71187-0_36

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…Moreover, the authors in [3] presented a study about BDW, which focuses on the works that treat the difference between the relational databases and the NoSQL databases, the creating data warehouse under NoSQL databases, the big ETL and the NoSQL based ETL process.…”

Section: Related Workmentioning

confidence: 99%

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Towards data warehouse from open data: Case of COVID-19

Bouaziz

Nabli

Gargouri³

2022

HIS

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Since December 2019, we have detected the appearance of a new virus called COVID-19, which has spread, throughout the world. Everyone today, has given major importance to this new virus. Although we have little knowledge of the disease, doctors and specialists make decisions every day that have a significant impact on public health. There are many and various open data in this context, which are scattered and distributed. For this, we need to capitalize all the information in a data warehouse. For that, in this paper, we propose an approach to create a data warehouse from open data specifically from COVID-19 data. We start with the identification of the relevant sources from the various open data. Then, we collect the pertinent data. After that, we identify the multidimensional concepts used to design the data warehouse schema related to COVID-19 data. Finally, we transform our data warehouse to logical model and create our NoSQL data warehouse with Talend Open Studio for Big Data (TOS_BD).

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Section: Related Workmentioning

confidence: 99%

“…The second source used is hospital data. 3 It provides information on the hospital situation concerning the COVID-19 epidemic:…”

Section: Source2: Hospital Data Relating To the Covid-19 Epidemicmentioning

confidence: 99%

Towards data warehouse from open data: Case of COVID-19

Bouaziz

Nabli

Gargouri³

2022

HIS

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Exploring Graph Data Warehouses

Cerjan,

Rabuzin

2024

Advances in Information Quality and Management

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The necessity to implement new methods of data processing and storage is a result of the global phenomena of data growth. In this article, the idea of graph data warehouses will be presented. A systematic review of the literature, i.e., published studies pertinent to this topic, will be used to give a fair and impartial overview of study findings for this subject. The purpose of this paper is to provide an objective review of graph data warehouses and the most significant studies on the subject. The summarized findings from the research will be presented together with a rating of the quality of the chosen studies.

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NoSQL Big Data Warehouse: Review and Comparison

Cited by 2 publications

References 13 publications

Towards data warehouse from open data: Case of COVID-19

Towards data warehouse from open data: Case of COVID-19

Exploring Graph Data Warehouses

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