Big data in maritime industry : the next big step
Η επιστήμη των μεγάλων δεδομένων στην ναυτιλία : το μελλοντικό άλμα
View/
Keywords
Internet of Things ; Big data ; Data security ; Data analysis ; Maritime industryAbstract
The Maritime Industry, a cornerstone of global trade and transportation, is undergoing a transformative shift with the advent of big data technologies. This master thesis delves into the science of big data within the maritime field, highlighting its potential to revolutionize various aspects of industry.
In recent years, the growth of data generated by vessels, ports, and related systems has presented both challenges and opportunities. In this master thesis, we explore the potential of big data analytics to enhance safety, optimize operations, and improve overall efficiency in maritime activities. By harnessing large datasets from sensors, satellite imagery, and IoT devices, the industry can gain valuable insights into vessel performance, fuel consumption, route optimization, and environmental impact.
The integration of big data solutions facilitates real-time monitoring of maritime operations, enabling proactive responses to potential issues such as weather disruptions, equipment failures, and security threats.
We also address the challenges associated with big data implementation in the maritime sector, including data security, standardization, and the need for collaboration among the industry. Privacy concerns, regulatory compliance, and the development of robust data governance frameworks are essential components for ensuring responsible and ethical use of big data in the maritime domain.
In conclusion, this master thesis underscores the transformative potential of big data in the maritime industry, emphasizing its capacity to usher in a new era of efficiency, safety, and sustainability. As industry continues to navigate the seas of digital innovation, understanding and harnessing the science of big data will be pivotal for the maritime industry aiming to stay ahead in an ever-evolving global landscape
Postgraduate Studies Programme
ΝαυτιλίαDepartment
Σχολή Ναυτιλίας και Βιομηχανίας. Τμήμα Ναυτιλιακών ΣπουδώνNumber of pages
102Language
EnglishCollections
Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού 3.0 Ελλάδα
Αναφορά Δημιουργού 3.0 Ελλάδα