Transforming and Analysing Oceanographic Data with Oracle Analytics Cloud: Insights from the World Ocean Database

The environment is under severe threat from climate change, pollution, deforestation and biodiversity loss. Addressing these challenges requires collecting and analysing environmental data to gain actionable insights. This paper explores the use of Oracle Analytics Cloud (OAC) to analyse data from the World Ocean Database (WOD), a comprehensive collection of oceanographic data. By converting the WOD data from its native netCDF format to CSV, we show how OAC can be used to access, prepare and visualize this data. The study highlights the potential of cloud-based analytics platforms to better understand oceanographic trends and support informed decision-making in marine science.

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Publication Details

Published
2024-11-13
DOI
https://doi.org/10.1109/informatics62280.2024.10900784
Primary Topic
Time Series Analysis and Forecasting
Type
article
Field-Weighted Citation Impact
0.00

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article

Transforming and Analysing Oceanographic Data with Oracle Analytics Cloud: Insights from the World Ocean Database

Alenka Brezavšček, Robert Leskovar, Аленка Баггиа
Time Series Analysis and Forecasting
article

Transforming and Analysing Oceanographic Data with Oracle Analytics Cloud: Insights from the World Ocean Database

Alenka Brezavšček, Robert Leskovar, Аленка Баггиа
article en

Abstract

The environment is under severe threat from climate change, pollution, deforestation and biodiversity loss. Addressing these challenges requires collecting and analysing environmental data to gain actionable insights. This paper explores the use of Oracle Analytics Cloud (OAC) to analyse data from the World Ocean Database (WOD), a comprehensive collection of oceanographic data. By converting the WOD data from its native netCDF format to CSV, we show how OAC can be used to access, prepare and visualize this data. The study highlights the potential of cloud-based analytics platforms to better understand oceanographic trends and support informed decision-making in marine science.

University of Maribor (SI)
European Commission
Life below water
Openalex Percentile: Top 69%
Time Series Analysis and Forecasting
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Transforming and Analysing Oceanographic Data with Oracle Analytics Cloud: Insights from the World Ocean Database — Alenka Brezavšček, Robert Leskovar, et al. · (2024) | TGRS Research Map | TGRS