Cloud Computing and Big Data Ecosystems Design

Lecturer (Coordinator):: Marta Patiño; mpatino@fi.upm.es
Lecturer:: Tonghong Li; tonghong@fi.upm.es
Lecturer:: Ainhoa Azqueta; aazqueta@fi.upm.es

Semester

First semester

Credits

4 ECTS

Outline

This course presents architectures for scalable distributed systems and data management systems: map-reduce, bigtable, data streaming, persistent queues.

Syllabus

Introduction
Data management technologies
1. NoSQL: key-value, graph databases, document-oriented databases
2. SQL and NewSQL: column-oriented data stores
3. Complex event processing/Data streaming
Data streaming
Bigtable. Dynamo
Big data and cloud data management ecosystems design

Recommended Reading

P. Sadalage, M. Fowler: "NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence". Addison Wesley, 2012.
"Big Data Now: Current Perspectives from O'Reilly Radar". O'Reilly. 2011
I. Robinson, J. Webber, E. Eifrem: "Graph Databases". O'Really. 2013

Prerequisites

Java programming, concurrent programming, databases.

Lecture Theatre

A-5001

Tuition language

English

Subject-Specific Competences

Code, description and proficiency level for each subject-specific competence
Code	Competence	Proficiency Level
CEM2	Analysis and synthesis of solutions to problems requiring innovative approaches to the definition of the computational infrastructure, processing and analysis of heterogeneous data types	S
CEM4	Analysis and evaluation of several software-based systems construction and management engineering paradigms and approaches	S
CEM6	Investigation of the main active research lines in the field of distributed computing paradigms, their practical applications and necessary infrastructure management	S

Learning Outcomes

Code, description and proficiency level for each subject learning outcome
Code	Learning Outcome	Associated competences	Proficiency level
RA-SRSD-49	Awareness of the principal distributed systems research lines	CEM2, CEM4, CEM6	S
RA-SRSD-50	Ability to locate and identify seminal articles on the distributed systems research field	CEM2, CEM4, CEM6	S
RA-SRSD-51	Ability to study and analyse a new distributed systems research area	CEM2, CEM6	S
RA-SRSD-52	Ability to relate an emerging distributed system research line to the foundations of distributed systems	CEM2, CEM6	S
RA-SRSD-53	Ability to identify the principal challenges addressed by an emerging distributed systems research line	CEM2, CEM6	S
RA-SRSD-54	To know synchronous characterization of distributed systems and protocol solving possibilities.	CEM6	C
RA-SRSD-55	To know main protocols of coordination and agreement.	CEM6	C
RA-SRSD-56	To know reliable radiation: types, properties and protocols.	CEM6	C
RA-SRSD-57	Awareness of the main transactional systems	CEM2, CEM4, CEM6	S
RA-SRSD-58	Awareness of the main data concurrency control and recovery protocols	CEM2, CEM4, CEM6	S
RA-SRSD-59	Awareness of the main data replication protocols and of correctness processes and criteria	CEM2, CEM4, CEM6	S
RA-SRSD-60	Ability to understand research articles on the distributed systems research field	CEM2, CEM6	S

Learning Guide

Learning Guide: Cloud Computing and Big Data Ecosystems Design