Υπολογιστικό νέφος και αναλυτική δεδομένων : αξιοποίηση της πλατφόρμας Oracle Cloud στην επιχειρηματικότητα και προβλεπτική ανάλυση δεδομένων
Cloud computing and data analytics : leveraging the Oracle Cloud platform in business and predictive data analytics
View/ Open
Keywords
Υπολογιστικό νέφος ; Μηχανική μάθηση ; Αναλυτική νέφους ; Oracle Cloud AnalyticsAbstract
This thesis focuses on the field of Cloud Computing and Cloud Analytics, analyzing various aspects
and applications. First, the history of Cloud Computing is presented and the types of cloud services
are examined, including Public Cloud, Private Cloud, and Hybrid Cloud. Then, the characteristics of
Cloud Computing are analyzed and the Cloud Analytics tools and their operation are presented.
The use of Cloud Analytics by businesses is examined and the advantages offered by this
technology are highlighted. In addition, the trends and challenges facing Cloud Computing are
presented. Then, Machine Learning is examined and its concept is presented, as well as the
benefits it offers to businesses. We focus on the importance of Machine Learning in the context of
Cloud Computing, but also the limitations it can face. In the last part of the paper, the Oracle Cloud
platform is reviewed, presenting its features and advantages. It also compares Oracle Cloud
Platform with other platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP)
and Microsoft Azure. Finally, creating data streams and analytics with Oracle Cloud Analytics is
presented, looking at examples of predictions and machine learning modeling algorithms.