PhD in Computer Science

Bigdata and NoSQL databases

Bigdata and NoSQL databases

Academic year 2016/2017

Sommario del corso

• Course objectives
• Results of learning outcomes
• Course delivery
• Learning assessment methods
• Program
• Suggested textbooks and readings
• Teaching tools

Course objectives

Overview of the NoSQl databases movement.

Knowledge of polyglot persistence and ability to choose the right database for the different needs.

Results of learning outcomes

Knowledge of the various typologies of data representations in the NoSql database movement.

Ability to design patterns for representation, querying and management of data in NoSql databases.

Course delivery

Teaching with slides, examples and exercizes.

Learning assessment methods

Submission and correction of exercizes on practical cases to be solved individually or in groups.

Program

Overview of BigData

A change of paradigm in data elaboration

Data distribution and limits to data consistency, availability, partitioning

An overview of NoSQL databases

Riak: a database for the web, based on key-values

HBase: a column-oriented database

MongoDB: a document-oriented database, based on JSON

Neo4J: a graph-oriented database

Experiments on modelling data and computing statistics with database of choice

Seven databases in seven weeks A Guide to Modern Databases and the NoSQL Movement
Autore: Eric Redmond and Jim R. Wilson
Casa editrice: The pragmatic programmer
ISBN: 978-1-93435-692-0
Url: https://pragprog.com/book/rwdata/seven-databases-in-seven-weeks

MapReduce Design Patterns Building Effective Algorithms and Analytics for Hadoop and Other Systems
Autore: Donald Miner, Adam ShookEdizione: Final Release Date: November 2012
Casa editrice: O'Reilly Media
ISBN: 978-1-4493-2717-0
Url: http://shop.oreilly.com/product/0636920025122.do

• Teaching materials
• Exams and finals
• Go to Moodle
• Visit the forums