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Cloud Computing, Data Sources and Data Centers
Published in Diego Galar Pascual, Pasquale Daponte, Uday Kumar, Handbook of Industry 4.0 and SMART Systems, 2019
Diego Galar Pascual, Pasquale Daponte, Uday Kumar
There are many IaaS vendors offering a range of products and services: AWS offers storage services such as Simple Storage Services (S3) and Glacier, as well as compute services, including its Elastic Compute Cloud (EC2).GCP offers storage and compute services through Google Compute Engine.Microsoft Azure also offers storage and compute services.Smaller or niche players in the IaaS marketplace include Rackspace Managed Cloud, CenturyLink Cloud, DigitalOcean and more.
The Bundling of Business Intelligence and Analytics
Published in Journal of Computer Information Systems, 2023
Kashif Saeed, Anna Sidorova, Akash Vasanthan
In addition to the confirmation of our hypotheses, the results shed light on several interesting observations. One, the use of cloud computing is much more dominant in the analytics world as compared to the BI world. For example, the term cloud computing (G2 = 61.285; p < .00001), AWS (G2 = 312.045; p < .00001), and Google cloud platform (GCP) (G2 = 29.618; p < .00001) confirm this trend. Microsoft Azure (G2 = 5.112; p = .2376) was not significantly different between the two categories because Microsoft tools for BI as well as Analytics are available through the Azure platform. Two, big data tools like Hadoop (G2 = 61.646; p < .00001), Hive (G2 = 58.524; p < .00001), Spark (G2 = 203.177; p < .00001), and Scala (G2=58.287;p < .00001) are heavily used in analytic. Three, the results show that both BI and analytics systems heavily rely on data and data quality. However, since data quality and data management are an IT responsibility, the frequencies of these terms are higher on the BI jobs as compared to the analytics jobs. Lastly, despite the stronger affiliation with BI jobs, the trends confirm that data visualizations and SQL are important skills for analytics jobs as well. Therefore, the frequency of tools like Tableau and Power BI is pretty high in analytics jobs.
Geospatial web services pave new ways for server-based on-demand access and processing of Big Earth Data
Published in International Journal of Digital Earth, 2018
Julia Wagemann, Oliver Clements, Ramiro Marco Figuera, Angelo Pio Rossi, Simone Mantovani
There are several options for data providers to offer web-based access to and processing of (geo-spatial) data. From a software architectural perspective, the concept of cloud computing or the concept of web services can be followed (Figure 1). In cloud computing, storage and computational facilities are no longer located on single computers, but distributed over remote servers operated by third-party providers, for example, Amazon Web Services or Google Cloud Platform (Schaeffer, Baranski, and Foerster 2010). In a cloud-based solution, a data provider puts the data to the cloud and it is the cloud provider’s responsibility to manage the data and to offer scalable, on-demand and cost-effective processing services to users. Google Earth Engine (2017) is an example of a cloud-based Software-as-a-Service solution to access and process geospatial data. Google Earth Engine offers access to petabytes of satellite, weather and climate data, which can directly be processed and analysed with custom processing scripts on the platform. Cloud computing may address the computationally challenging demands of the geospatial domain, but large data organisations need to carefully evaluate possible solutions.
Implementation of serverless cloud GIS platform for land valuation
Published in International Journal of Digital Earth, 2021
Muhammed Oguzhan Mete, Tahsin Yomralioglu
Among leading technology companies, there are prominent cloud computing service providers like AWS, Google Cloud Platform (GCP), Microsoft Azure, IBM Cloud, Oracle Cloud, Digital Ocean, and Rackspace. In this paper AWS is adopted as a cloud computing platform, since it has many service alternatives, reasonable service costs, data centres in many locations, and highly available services.