Tell me and I forget. Teach me, and I remember. Involve me, and I learn.
Benjamin Franklin
Students are expected to complete and submit the assigned pre-lab homework before each lab session.
Students will begin by creating an essential toolbox to get them started in the Cloud. It will prepare them to be able to practice with APIs, the doors in the Cloud. That will also allow students to be able to mine the deluge of data coming from the Cloud or using new advanced analytics services available nowadays in the Cloud. Finally, we will look under the hood of these high-level analytics services in the Cloud, either regarding software or hardware, to understand how to meet high-performance requirements. The final goal is to provide code examples that smoothly can get the student started.
- Lab 0: Environment configuration and warm up
- Lab 1: Basic "Knowledge Toolbox" to get started in the Cloud
- Lab 2: Doors in the Cloud
- Lab 3: Extracting and Analyzing data from the Cloud
- Lab 4: Creating a web application using cloud PaaS
- Lab 5: Enhancing your web app using additional cloud services
- Lab 6: Interacting with users and services in the Cloud
- Lab 7: Extracting and Analyzing data using Elastic Search and Kibana
I would like to thank Prof. Jordi Torres for developing the initial version of these lab sessions. Thanks are also due to some of his former students for their help proofreading and improving the documentation: Eloy Gil, Dani Cea, Xisco Sastre, Maurici Yagüez and Mauro Gómez.