CONTENT

Introduction to modern needs and solutions for managing data  2.1 NoSQL Trends 2.2 Overview of models and families	2H00 – GVS  session 1  21/05
Document Databases: MongoDB (Theory & Practice) 2.1 Principles and Data Models 2.2 MongoDB creating and querying document databases: hands-on 2.3 Scaling up and distributed solutions: hands-on ATLAS/debate	5H – GVS session 1 21/05 & session 2 22/05
Graph Databases
3.1. Principles and Data Models  3.1.1 Operations on graphs 3.1.2 Wrap up & Debate	3H – GVS session 3 28/05
3.2. Graph-Based Data Management Systems: Neo4J 3.2.1 Creation (hands-on) 3.2.2 Querying: Cypher (hands-on)	3H – KB session 4 04/06
3.3. RDF based databases and SPARQL  3.3.1 Wikidata and Wikipedia (hands-on) 3.3.2 Querying with SPARQL (hands-on)	3H – KB session 5 11/06
Data Science based exploration	4H -GVS session 6 12/06
4.1 DS on graphs: algorithms
4.2.  General principle of DS with Neo4J
4.3. Classic DS operations on graphs with Neo4J
4.4. AI operations: link discovery on graphs