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teaching:infoh415 [2021/09/23 14:57] ezimanyi [Topics for the current academic year] |
teaching:infoh415 [2021/10/03 19:53] ezimanyi [Project] |
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| ===== Last important announcment ==== | ===== Last important announcment ==== | ||
| + | All VUB student registered to the course which are not on the Teams of the course should take contact with gilles.dejaegere@ulb.be | ||
| - | 21/09/2021: | ||
| - | Hello everyone, | ||
| - | |||
| - | The first exercise session will take place Thursday from 14:00-16:00 in the UB4.130 computer room. It is however strongly advised to bring your own computer and to install the required applications as indicated on the webpage of the exercise sessions (https://cs.ulb.ac.be/public/teaching/infoh415/tp, Before Session 1). | ||
| - | |||
| - | See you on Thursday, | ||
| - | |||
| - | Gilles | ||
| ===== Lecturer ===== | ===== Lecturer ===== | ||
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| The course is given during the first semester | The course is given during the first semester | ||
| - | * Lectures on Mondays from 4 pm to 6 pm | + | * Lectures on Mondays from 4 pm to 6 pm in the K.4.601 (Solbosch campus) |
| * Exercises on Thursdays from 2 pm to 4 pm | * Exercises on Thursdays from 2 pm to 4 pm | ||
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| */ | */ | ||
| - | Students, in groups of two, will realize a project in a topic relevant to advanced databases. Examples of topics are given in the next section of this document. Please notice that the template for these topics is "<Technology> and <Tool>". | + | Students, in groups of two or four students, will realize a project in a topic relevant to advanced databases. Examples of topics are given in the next section of this document. Please notice that the template for these topics is "<Technology> and <Tool>" for groups of 2 students and "<Technology> with <Tool1> and <Tool2>" for groups of 4 students. |
| Each group will study a database technology and illustrate it with an application developed in a database management system to be chosen (e.g., SQL Server, PostgreSQL, MongoDB, etc.). The topic should be addressed in a technical way, to explain the foundations of the underlying technology. The application must use the chosen technology. | Each group will study a database technology and illustrate it with an application developed in a database management system to be chosen (e.g., SQL Server, PostgreSQL, MongoDB, etc.). The topic should be addressed in a technical way, to explain the foundations of the underlying technology. The application must use the chosen technology. | ||
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| The choice of topic and the application must be made in agreement with the lecturer. The topic should not be included in the program of the Master in Computer Science and Engineering. The project will be presented to the lecturer and the fellow students at the end of the semester. This presentation will be supported by a slideshow. A written report containing the contents of the presentation is also required. The presentation and the report will (1) explain the foundations of the technology chosen, (2) explain how these foundations are implemented by the database management system chosen and (3) illustrate all these concepts with the application implemented. | The choice of topic and the application must be made in agreement with the lecturer. The topic should not be included in the program of the Master in Computer Science and Engineering. The project will be presented to the lecturer and the fellow students at the end of the semester. This presentation will be supported by a slideshow. A written report containing the contents of the presentation is also required. The presentation and the report will (1) explain the foundations of the technology chosen, (2) explain how these foundations are implemented by the database management system chosen and (3) illustrate all these concepts with the application implemented. | ||
| + | |||
| + | For 2-student group, the duration of the presentation is 30 minutes. It will structured in two parts of similar length | ||
| + | * An introduction to the technology | ||
| + | * An introduction to the tool illustrated with an example application assessing its advantages and disadvantages. | ||
| + | |||
| + | For 4-student group, the duration of the presentation is 45 minutes. It will structured in three parts of similar length | ||
| + | * An introduction to technologies presented jointly by the two groups | ||
| + | * An introduction to the two tools, each presented by each group | ||
| + | * A common assessment of the advantages and disadvantages of both tools tested in a common example application. | ||
| The evaluation of the project focuses on the following criteria: | The evaluation of the project focuses on the following criteria: | ||
| Line 161: | Line 163: | ||
| * Column stores and Cassandra, Hbase, ... | * Column stores and Cassandra, Hbase, ... | ||
| * Data warehouses and Apache Hive | * Data warehouses and Apache Hive | ||
| - | * Deductive Databases and XSB | + | * Distributed databases and SQL Server, Oracle, Citus, ... |
| - | * Distributed databases and SQL Server, DynamoDB, ... | + | |
| * Document stores and Cloudant, Couchbase, CouchDB, MongoDB, RavenDB, RethinkDB, ... | * Document stores and Cloudant, Couchbase, CouchDB, MongoDB, RavenDB, RethinkDB, ... | ||
| * Embedded databases and BerkeleyDB | * Embedded databases and BerkeleyDB | ||
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| ===== Topics for the current academic year ===== | ===== Topics for the current academic year ===== | ||
| + | * Analytical databases and Endeca: David Silberwasser, Sami Abdul Sater | ||
| * Cloud databases and Microsoft Azure SQL: Davide Rendina, Margarita Hernandez | * Cloud databases and Microsoft Azure SQL: Davide Rendina, Margarita Hernandez | ||
| * Column stores and Cassandra: Md Jamiur Rahman Rifat, Khushnur Binte Jahangir | * Column stores and Cassandra: Md Jamiur Rahman Rifat, Khushnur Binte Jahangir | ||
| * Datawarehouses and Apache Hive: Nicole Zafalón, Andrés Espinal | * Datawarehouses and Apache Hive: Nicole Zafalón, Andrés Espinal | ||
| * Distributed databases and SQL Server: Asha Seif, Kainaat Amjid | * Distributed databases and SQL Server: Asha Seif, Kainaat Amjid | ||
| - | * Document stores and CouchBase: Mohammadreza Amini and Ossoama Benaissa | + | * Distributed Databases with DynamoDB: Loïc Caudron, Matteo Snellings |
| + | * Document stores with CouchBase and CouchDB: Mohammadreza Amini, Ossoama Benaissa, Zheng Ren, Adriana Sirbu | ||
| + | * Document stores and Firestore: Luca De Santos, Sacha Keserovic | ||
| * Document stores and MongoDB: Hang Yu, Zhiyang Guo | * Document stores and MongoDB: Hang Yu, Zhiyang Guo | ||
| * In-memory databases and Memcached: Diogo Repas and Sandra Hillergren | * In-memory databases and Memcached: Diogo Repas and Sandra Hillergren | ||
| + | * Key-value databases with DynamoDB: Aline Desmet, Chloé Dekeyser | ||
| * Key-value databases with Cloud bigtable and Redis: Luiz Fonseca, Zyrako Musaj, Yanjian Zhang and Zhicheng Luo | * Key-value databases with Cloud bigtable and Redis: Luiz Fonseca, Zyrako Musaj, Yanjian Zhang and Zhicheng Luo | ||
| * Multimedia databases and Oracle: Wassim Belgada, Imestir Ibrahim | * Multimedia databases and Oracle: Wassim Belgada, Imestir Ibrahim | ||
| - | * NewSQL databases and VoltDB: Nabil Souissi | + | * NewSQL databases with VoltDB and CockroachDB: Ali Imam Manzer, Maciej Piekarski, Johan Gjini, Nabil Souissi, |
| - | * Object-oriented databases and ObjectBox: Filip Sotiroski, Niccolo Morabito | + | * Object-oriented databases with ObjectBox and Perst: Filip Sotiroski, Niccolo Morabito, Andrea Gonzato, Pietro Ferrazi |
| - | * Object-oriented databases and Perst: Andrea Gonzato, Pietro Ferrazi | + | |
| * Real-time databases and Firebase: Himanshu Choudhary, Sergio Postigo, Tejaswini dhuppad | * Real-time databases and Firebase: Himanshu Choudhary, Sergio Postigo, Tejaswini dhuppad | ||
| * Spatial raster databases and Rasdaman: Adam Broniewski, Victor Divi | * Spatial raster databases and Rasdaman: Adam Broniewski, Victor Divi | ||
| * Stream databases and Apache Kafka: Vlada Kylynnyk, Mahmut Asım Onat | * Stream databases and Apache Kafka: Vlada Kylynnyk, Mahmut Asım Onat | ||
| * Time series databases with Influx DB and Kdb+: Mohammad Zain Abbas, Muhammad Ismail, Yi Wu, Chonghan Li | * Time series databases with Influx DB and Kdb+: Mohammad Zain Abbas, Muhammad Ismail, Yi Wu, Chonghan Li | ||
| - | * Search engines and Apache Solr: Pap Sanou, Szymon Swirydowicz | + | * Search engines with Apache Solr and ElasticSearch: Pap Sanou, Szymon Swirydowicz, Alexandre Chapelle, Nicolas Dardenne |
| - | * Search engines and ElasticSearch: Alexandre Chapelle, Nicolas Dardenne | + | |
| * XML Databases and BaseX: Maxime Renversez, Mael Touret | * XML Databases and BaseX: Maxime Renversez, Mael Touret | ||