Cloud Services in Geoinformatics

Type of study	Follow-up Master
Language of instruction	English
Code	548-0145/02
Abbreviation	VCSG
Course title	Cloud Services in Geoinformatics
Credits	5
Coordinating department	Department of Geoinformatics
Course coordinator	Ing. Pavel Kukuliač, Ph.D.

Osnova předmětu

1) Basics of cloud computing
2) Introduction to Cloud and Server GIS
3) Amazon Web Services (AWS) - Cloud Computing Services
4) Amazon Web Services (AWS) - Basic Architecture
5) ArcGIS Server up and running on Amazon EC2
6) Cloud-based databases and ArcGIS Server connection
7) Map design and vector tile services using Mapbox
8) Thematic mapping services with CARTO
9) Web maps and data as services using ArcGIS Online
10) GIS as a service using ArcGIS Online
11) QGIS cloud
12) Cloud Software as a Service (SaaS)
13) Cloud Platform as a Service (PaaS) and Cloud Infrastructure as a Service (IaaS)

E-learning

https://lms.vsb.cz/

Povinná literatura

D. Robinson. Amazon web services made simple. Learn how Amazon EC2, S3, SimpleDB a SQS Web services enables you to reach bussiness golas faster. 2008.
H., Nasser. Administering ArcGIS for Server. Installing and configuring ArcGIS for Server to publish, optimize, and secure GIS services. Packt Publishing Ltd., 2014, pages 246, .
M., Stigler. Beginning Serverless Computing. Developing with Amazon Web Services, Microsoft Azure, and Google Cloud. Apress; 1st ed. edition, 2018, pages 207, .
S., A. Karthikeyan. Practical Microsoft Azure IaaS Migrating and Building Scalable and Secure Cloud Solutions. Apress; 1st ed. edition, 2018, pages 325, .

Doporučená literatura

JJ., Geewax. Google Cloud Platform in Action. Manning Publications, 2018, pages 632, .
R., Lee. Big Data, Cloud Computing, Data Science & Engineering. Studies in Computational Intelligence Springer International Publishing, 1st ed., 2019, pages 196, .
M., Lanham. Practical AI on the Google Cloud Platform. Learn how to use the latest AI cloud services on the google cloud platform. O'Reilly, 2020. .
P., Riti. Pro DevOps with Google Cloud Platform: With Docker, Jenkins, and Kubernetes. Apress; 1st ed. edition, 2018, pages 278, .

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