Data Center Technology
- Details
- Category: Discipline
- Não
- The Datacenter Technology course aims to equip students to understand the technologies used in data centers, in order to plan, implement, manage, and maintain these critical IT environments. With a theoretical and practical approach, the course explores everything from the basic concepts of data centers to advanced topics such as high availability, security, automation, and cloud computing. The scope of Datacenter Technology is broad, as the use of data centers is increasing in companies and organizations that rely on technology to operate. The relevance of this course in the study cycle is essential, especially in courses related to Data Science, as the knowledge acquired is critical for the implementation and management of IT infrastructures necessary for data analysis
- Semestral
A presente Unidade Curricular apresenta duas metodologias de avaliação: Avaliação Contínua e Avaliação Não Contínua.
1. Avaliação Contínua:
A Avaliação Contínua desta Unidade Curricular é composta por um teste (T) e 2 trabalhos práticos (TP1 e TP2). A nota final (NF) é calculada como sendo, a média aritmética dos elementos de avaliação de acordo com a seguinte fórmula:
(NF = 0.4 * T + 0.40 * TP1+0.20 * TP2)
2. Avaliação Não Contínua:
Os alunos podem optar por exame, sendo a classificação final igual à deste elemento de avaliação.
A UC, é composta por 3 elementos de avaliação:
T - Teste de avaliação
TP1 - Trabalho Prático Nº 1 - Projecto de um Data Center
TP2 - Trabalho Prático Nº 2 - Análise de um artigo acadêmico no âmbito de Data Centers
Datas de Avaliação:
Teste(T): 18/06/2026
Trabalho Pratico 1 (TP1): 24/06/2026
Trabalho Pratico 2 (TP2): 22/05/2026
- 1: Introduction to Datacenters Basic concepts and definitions Types of datacenters and their characteristics 2: Datacenter Infrastructure Servers: types, components and configurations Network: switches, routers, protocols and topologies Storage: disks, SAN, NAS and backup systems 3: Cloud Computing and Virtualization Concepts Features, services and implementations Challenges and benefits 4: Planning and Design of a Datacenter Site selection and preparation Power and cooling requirements 5: Implementation and management of a Datacenter Installation and configuration of servers, networks, storage and virtualization Automation and Monitoring 6: Security and High Availability Physical and logical security measures disaster recovery Load balancing and clustering 7: Emerging Technologies and Trends Artificial intelligence Green datacenters and sustainability 8: Project and Test Preparation
- Understand the basic concepts of data centers and the technologies involved, such as servers, networks, storage, and virtualization. Identify and apply best practices for planning, implementing, managing, and maintaining a data center. Develop practical skills for monitoring, troubleshooting, and optimizing the performance of a data center. Understand the techniques and tools used to ensure the security and high availability of a data center. Familiarize with emerging technologies such as cloud and automation, and understand how they can be applied in data centers to improve efficiency and reduce costs.
- Mandatory
- The course adopts a theoretical and practical approach, combining the teaching of fundamental data center concepts with hands-on application in topics such as high availability, security, automation, and cloud computing. Students are challenged to apply the knowledge acquired in the implementation and management of critical IT infrastructures, promoting the consolidation of learning through targeted exercises and practical case studies.
- Português
- Nikolov, I. M., & Maloo, S. (2022). Data Center Fundamentals. Pearson Education. Hwang, K., & Dongarra, J. (2012). Distributed and Cloud Computing: From Parallel Processing to the Internet of Things. Morgan Kaufmann. Sebenta/apontamentos cedidos pelo docente.
- 4
- 0
- 6
- 1
- IPLUSO6382-23553
- Data Center Technology
- 23553
- 6382
- Computer Applications for Data Science
