Cloud Computing and Big Data Analytics
Spring 2021

Cloud computing is a service model for large-scale distributed computing based on concentrated infrastructure and a set of collaborative services over which applications can be deployed and run over the network.

This course about Cloud computing has a mainly practical approach dealing with the related technologies. While most computer applications can be deployed in the cloud using the concepts explained, the classes pay particular attention to the creation of Big Data Analytics applications on the Cloud. It is offered to students of both degrees: " Master in Innovation and Research in Informatics " and " Erasmus Mundus Master in Big Data Management and Analytics ".

In the lectures of this course, the students will learn the principles and the state of the art of large-scale distributed computing in a service-based model. Students will study how scale affects system properties, models, architecture, and requirements.

In the laboratory sessions of this course, the students will gain a practical view of the latest in Cloud technology to implement a prototype that meets a business idea created by the student.

Class Contents

• Syllabus.
• QuickStart: Hands-on experience for the students of the master's course enrolled on this subject.
• Laboratory assignments.
• Course Project.

Lecturer

Angel Toribio-González  ( )

Tentative calendar!!!

	Class topics and laboratory sessions
	Monday (Lectures)		Wednesday (Laboratory)
February	15	Presentation of the subject	17	Environment configuration and warm up
	22	Introduction to Cloud Computing	24	Basic knowledge toolbox
March	1	Virtualization	3	Doors in the cloud
	8	Cloud computing architecture	10	Extracting and analyzing data from the cloud
	15	Cloud computing architecture	17	Creating a web application using cloud PaaS
	22	Cloud computing architecture	24	Enhancing your web app using additional cloud services
	29	Easter break	31	Easter break
April	5	Easter break	7	Programming your cloud infrastructure
	12	Best practices for creating SaaS The twelve factor methodology Service oriented architectures	14	Using the Elastic Stack to study scraped data from a web page
	19	Cloud security	21	Advanced Analytics as a Service in the Cloud
	26	Cloud security	28	Student project development
May	5	Agile and Cloud automation	7	Student project development
	10	Keynote presentation: TBA	12	Student project development
	17	Keynote presentation: TBA	19	Student project development
	24	Bank holiday	26	Student project development
	31	Student project Technical interview presence required to pre-scheduled interviews	2	Final exam

Evaluation