Section Big Data Management

• When: Thursday, 8:00 - 11:00 starting from February 29 until May 30, 2024


• Where: Classroom 41, via delle Sette Sale 29, Roma
  The first Lecture (February 29) will also be streamed online (via Zoom). To attend the online lectures you can use this link: https://uniroma1.zoom.us/j/88389166727?pwd=N3RLVWVUZGdvUU5SYWFOaWtCZFlXZz09
  
  The recording of the lectures is available at the classroom web page of the course

  To access the material you have to register with your institutional account.

• Lectures 1, 2, 3 (February 29)
  • Course Introduction; Introduction to Big Data


• Lectures 4, 5, 6 (March 7)
  • Aggregate Data Models: the notion of aggregate; introduction to key-value; document-based and column family data models


• Lectures 7, 8, 9 (March 14)
  • Aggregate Data Models: Schemaless databases: advantages and drawbacks; a brief note on Data Modeling in NoSQL databases; wrap up on aggregate models


• Lectures 10, 11, 12 (March 21)
  • A MongoDB overview


• March 28
  • Easter break


• Lectures 13, 14, 15 (April 4)
  • Aggregate Data Models: distribution models; Consistency


• April 11
  • Lecture on Information Integration Section (Prof. Console)

Slides

To access the material you have to register with your institutional account.

Additional Material (suggested -- slides cover all topics in the course)

• NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence. Pramod J. Sadalage and Martin Fowler. Addison-Wesley. 2013

Exams

(1) Development of a small project. Students are strongly encouraged to propose their own idea for projects. As a suggestion, they can refer to (and also select from) the following list of tools. The project connected to a tool consists, for example, in studying the logical data model(s) adopted by the tool, the native storage data structure it uses, the query language it provides, and highlighting further distinguishing features. Also, a demonstration of the basic use of the tool through one or more examples is required. Presentation connected to projects (possibly through slides) should last around 20 minutes (including the demo).

1. key-value database tools
   1. Redis
   2. Riak
   3. Memcached
   4. Voldemort
2. document database tools
   1. Couchbase
   2. MarkLogic (Enterprise NoSQL)
3. column-family database tools
   1. Cassandra
   2. Hbase
   3. Hypertable

Note: This kind of projects can be developed individually or by groups of two students. In this latter case, presentation should be equally separated into two parts, one managed by each member of the group, and the overall presentation time can be extended to 30-40 minutes.

The exam will consist in the project presentation with possible additional questions on the topics covered by this section of the Large Scale Data Management Course.

To have a project assigned, students must send an email to lembo@diag.uniroma1.it indicating the kind project they are willing to present (please, do not start working on a project before you have it assigned).

(2) Article Presentation

Article presentation consists in preparing a 20 minute presentation about scientific papers assigned by the lecturer or proposed by students. Send an email to lembo@diag.uniroma1.it to ask for the assignment of papers to study as final work (please, do not start studying a paper for exam presentation before you have it assigned).

Note: Article presentation can be carried out only individually

Note: Both project and paper presentations and paper will be preferably carried out during the office ours. Students are however required to send an email in advance to fix the exact date and hour of their presentation.