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This shows you the differences between two versions of the page.

--- teaching:infoh415 [2018/12/27 01:54]
ezimanyi [Topics for the current academic year]
+++ teaching:infoh415 [2023/09/18 08:49]
ezimanyi [Course Slides]
@@ Line 2: / Line 2: @@
+===== Last important announcement ====
+All VUB student registered to the course who are not on the Teams of the course should take contact with gilles.dejaegere@ulb.be. Once added to the Teams, please, register to the notifications of the channel to be sure not to miss any info.
+Here are a few additional notes and reminders about today's exercise session.
+The exercise session will start at 14h10 in UB4.126. Please arrive a bit in advance in order to have time to find a spot before the start of the recap, especially if you need to use the computer of the room (see more details about these computers further).
+I will try to record the session as I have been informed that some of you have a schedule conflict. I do not guarantee that it will always work tough, I might forget or there might be some technical problems. These recordings will be available on Teams only.
+I hope most of you succeeded at installing the necessary software. If it is not the case you can use the ones in the room. I tested the ones in the room Monday morning and here are some observations:
+- You need to start the computer on windows. When selecting windows in the Grub, some computers get stuck on a black screen. If this is the case you need to force restart. Trying again should solve the problem on most computers. For some of them however it doesn't work. If you have the problem more than 3 time I would advise you to change the computer.
+- Once you arrive on the login page, please login with you netid and password. If you do not have one you can try with fsa-vub-students as login and password (it is not guaranteed that it works, I forgot to test it). Once you entered the correct login and password you might get stuck on a loading page indicating "Please wait for the user profile service". This takes a lot of time (took around 10 min for me) windows should finally open after so please be patient.
+The system admin made an update which might have solved these problems but I couldn't test since...
+See this afternoon,
+Gilles
 ===== Lecturer =====
@@ Line 10: / Line 31: @@
 ===== Teaching Assistant =====
-  * [[Gilles.Dejaegere@ulb.ac.be|Gilles Dejaegere]]
+  * [[boris.coquelet@ulb.be|Boris Coquelet]]
@@ Line 32: / Line 53: @@
 The course is given during the first semester
-  * Lectures on Thursdays from 2 pm to 4 pm at the room S.UA4.218
+  * Lectures on Mondays from 4 pm to 6 pm in the UB4.132 (Solbosch campus)
-  * Exercises on Mondays from 4 pm to 6 pm at the room S.UB4.130
+  * Exercises on Thursdays from 2 pm to 4 pm
+/*
 {{:teaching:infoh415:infoh415schedule2018.pdf|Schedule}}
-/*
   * [[http://www.google.com/calendar/embed?src=dug2eihu8tqtnkjhmtuupj0je0%40group.calendar.google.com&ctz=Europe/Brussels|Online schedule]]
 */
 ===== Objectives =====
 Today, databases are moving away from typical management applications, and address new application areas. For this, databases must consider (1) recent developments in computer technology, as the object paradigm and distribution, and (2) management of new data types such as spatial or temporal data. This course introduces the concepts and techniques of some innovative database applications.
 ===== Content =====
-==== Active Databases ====
+==== Spatial Databases ====
-Taxonomy of concepts. Applications of active databases: integrity maintenance, derived data, replication. Design of active databases: termination, confluence, determinism, modularisation.
+Spatial data and applications. Space ontology. Conceptual modeling of spatial aspects. Manipulation of spatial data with standard SQL.
+==== Mobility Databases ====
+...
 ==== Temporal Databases ====
@@ Line 54: / Line 84: @@
 Temporal data and applications. Time ontology. Conceptual modeling of temporal aspects. Manipulation of temporal data with standard SQL.
-==== Object Databases ====
+==== Active Databases ====
-Object-oriented model. Object Persistance. ODMG standard: Object Definition Language and Object Query Language.
+Taxonomy of concepts. Applications of active databases: integrity maintenance, derived data, replication. Design of active databases: termination, confluence, determinism, modularisation.
-==== Spatial Databases ====
-Spatial data and applications. Space ontology. Conceptual modeling of spatial aspects. Manipulation of spatial data with standard SQL.
@@ Line 76: / Line 103: @@
   * Jim Melton and Alan R. Simon, SQL: 1999 - Understanding Relational Language Components, Morgan Kaufmann, 2001
   * Jim Melton, Advanced SQL: 1999 - Understanding Object-Relational and Other Advanced Features, Morgan Kaufmann, 2002
-  * R.G.G. Cattel et al., The Object Database Standard: ODMG 3.0, Morgan Kaufmann, 2000  ({{:teaching:odmg.pdf|version pdf}})
+  * Ian Robinson, Jim Webber, Emil Eifrem, Graph Databases, 2nd Edition, O'Reilly Media, 2015
   * Philippe Rigaux, Michel Scholl, Agnès Voisard, Spatial Databases: With Application to GIS, Morgan Kaufmann, 2001
@@ Line 86: / Line 113: @@
   * E. Zimányi, Temporal Aggregates and Temporal Universal Quantifiers in Standard SQL, SIGMOD Record, 35(2):16-21, 2006. ({{http://code.ulb.ac.be/dbfiles/Zim2006article.pdf|version pdf}})
   * Krishna Kulkarni, Jan-Eike Michels, Temporal features in SQL:2011, SIGMOD Record, 41(3):34-43, 2012. ({{teaching:infoh415:TempFeaturesSQL2011.pdf|version pdf}})
-  * Gregory Sannik, Fred Daniels, Enabling the Temporal Data Warehouse, Teradata White paper. ({{teaching:infoh415:teradata_enabling_temporal.pdf|version pdf}})
+  * Michael H. Böhlen, Anton Dignös, Johann Gamper, Christian S. Jensen, Temporal Data Management: An Overview, Proc. of the 7th European Summer School on Business Intelligence and Big Data, eBISS 2017, Bruxelles, Belgium, LNBIP 324, Springer 2018. ({{teaching:infoh415:bohlen.pdf|version pdf}})  * Gregory Sannik, Fred Daniels, Enabling the Temporal Data Warehouse, Teradata White paper. ({{teaching:infoh415:teradata_enabling_temporal.pdf|version pdf}})
   * Richard T. Snodgrass, A Case Study of Temporal Data, Teradata White paper. ({{teaching:infoh415:teradata_temporal_case_study.pdf|version pdf}})
   * Teradata, Temporal Table Support. ({{teaching:infoh415:teradata_temporal_support.pdf|version pdf}})
@@ Line 92: / Line 119: @@
   * IBM, A Matter of Time: Temporal Data Management in DB2 for z/OS. ({{teaching:infoh415:a_matter_of_time.pdf|version pdf}})
 ===== Links =====
-  * Temporal databases
+  * Spatial databases
-    * [[http://timecenter.cs.aau.dk/|TimeCenter]], an international research centre for temporal databases.
+    * [[https://postgis.net/workshops/postgis-intro/|Introduction to PostGIS]]
-    * [[http://www.timeconsult.com/Software/Software.html|TimeDB]], a temporal relational database
+    * [[https://learn.crunchydata.com/postgis|Crunchy Data Interactive PostGIS Learning Portal]]
+  * Mobility databases
+    * [[https://mobilitydb.com/|MobilityDB]]
   * Object databases
     * [[http://www.odbms.org/|ODBMS.ORG]], portal of ressources about object databases.
-    * [[http://www.db4o.com/|db4o]], an open source object database.
     * [[http://www.objectstore.com/datasheet/index.ssp|ObjectStore]], an object database
     * [[http://www.objectivity.com|Objectivity]], an object database
-    * [[http://www.versant.com/|Versant]], an object database
-    * [[http://www.jade.co.nz/jade/|Jade]], an object database
-    * [[http://sourceforge.net/projects/ozone/|Ozone]], an object database
   * Post-relationnal databases
-    * [[http://www.fresher.com/|Matisse]]
     * [[http://www.intersystems.com/cache/index.html|Caché]]
 ===== Course Slides =====
-  * {{teaching:infoh415:activenotes.pdf|Active databases}}
-  * {{teaching:infoh415:temporalnotes.pdf|Temporal databases}}
-  * {{teaching:infoh415:objectnotes.pdf|Object databases}}
   * {{teaching:infoh415:spatialnotes.pdf|Spatial databases}}
+  * Mobility databases
+  * {{teaching:infoh415:temporalnotes.pdf|Temporal databases}}
+  * {{teaching:infoh415:activenotes.pdf|Active databases}}
+/*  * {{:teaching:infoh415:graphdb-ulb-2021.zip|Graph Notes (2021 version)}} */
+/*   * {{teaching:infoh415:objectnotes.pdf|Object databases}}
+  * {{:teaching:infoh415:graph_databases_notes.zip|Graph Notes}}*/
@@ Line 118: / Line 145: @@
   * [[teaching:infoh415:TP|Exercices Web page]]
 ===== Project =====
@@ Line 126: / Line 154: @@
 */
-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.
+Students, in groups of 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> with <Tool1> and <Tool2>".
+Each group will study a database technology (e.g., document stores, time series databases, etc.) and illustrate it with an application developed in two database management systems 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. Examples of technologies and tools can be found for example in the following  [[https://db-engines.com/en/ranking|web site]].
+It is important to understand that the objective of the project is NOT about developing an application with a GUI. The objective is to benchmark the proposed tool in relation to the database requirements of your application. Therefore, it is necessary to determine the set of queries and updates that your application requires and do a benchmark with, e.g., 1K, 10K, 100K, and 1M "objects" (rows, documents, nodes, etc. depending on the technology used) to determine if the tool shows a linear or exponential behavior. Please notice that you SHOULD NOT generate data for the benchmark since you can find in Internet (1) a huge number of available datasets (2) alternatively, there are many available data generators.
+As usual when performing benchmarks, the queries and updates are executed n times (e.g., 6 times where the first execution is not considered because it is different from the others since the cache structures must be filled) and the average of the execution times is computed. A comparison with traditional relational technology (e.g., using PostgreSQL) must be provided to show that the chosen tool is THE technology of choice for your application, better than all other alternatives, and that it will perform correctly when the system is deployed at full scale. Please notice that there are MANY standard benchmarks for various database technologies so in that case you should prefer using a standard benchmark that reinventing the wheel and create your own benchmark.
-Each group will study a database technology and illustrate it with an application developed in a database management system to be chosen (e.g., Oracle, PostgreSQL, DB2, SQL Server, mySQL, etc..).
+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 systems chosen and (3) illustrate all these concepts with the application implemented.
-The topic should be addressed in a technical way, to explain the underlying technologies. The application must use the specific technology manipulated.
-The choice of topic and the application must be made in agreement with the lecturer. The topic should not be included in the programme 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 written report will explain the possibilities offered by the database management system chosen and give a general description of the application implemented.
+The duration of the presentation is 45 minutes. It will structured in three parts of SIMILAR length
+   * An introduction to technology
+   * An introduction to the two tools, each presented by a subgroup of two persons
+   * 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:
@@ Line 140: / Line 176: @@
 The project will count for 25% of the final grade.
-The project must be submitted by **Monday, December 17, 2018**.
+The project must be submitted by **Monday, December 12, 2022**. Please send the report and the presentation in PDF format to the lecturer.
-===== Examples of topics from the previous academic year =====
+  * Cloud databases and Microsoft Azure, AWS, ...
-You can take a look at the [[https://db-engines.com/en/|DB-Engines]] web site to get an idea of the currently available technologies and tools. Examples of previous topics are given next:
-  * Analytical databases and Endeca
-  * Cloud databases and Microsoft Azure
   * Column stores and Cassandra, Hbase, ...
-  * Deductive Databases and XSB
+  * Data warehouses and Apache Hive
-  * Distributed databases and SQL Server, DynamoDB, ...
+  * Distributed databases and SQL Server, Oracle, Citus, ...
   * Document stores and Cloudant, Couchbase, CouchDB, MongoDB, RavenDB, RethinkDB, ...
   * Embedded databases and BerkeleyDB
-  * Graph Databases and Neo4J, OrientDB, ...
+  * In-memory databases and Kdb+, MemSQL, Oracle TimesTen, Memcached, ....
-  * In-memory databases and Kdb+, MemSQL, Oracle TimesTen, ....
+  * Key-value stores and BerkeleyDB, DynamoDB, Redis, Voldermort, ...
-  * Key-value stores and Redis, Voldermort, ...
+  * Multi-model databases and MarkLogic, CosmosDB
-  * Multimedia databases and Oracle
+  * NewSQL databases and VoltDB, CockrachDB, ...
-  * Multi-model databases and MarkLogic
+  * Object-oriented databases and ObjectBox, Perst
-  * NewSQL databases and VoltDB
-  * Object-oriented databases and db4o
   * Real-time databases and Firebase
+  * Search engines and Solr, ElasticSearch, Sphinx ...
+  * Spatial raster databases and Rasdaman
+  * Stream databases and Apache Kafka, Event Stores
+  * Time series databases and Influx DB, Kdb+, ...
   * XML databases and BaseX
 ===== Topics for the current academic year =====
-  * {{:teaching:infoh415:student_projects:2019:azure.pdf|Cloud databases and Microsoft Azure}}: Sara Diaz, Buse Ozer
-  * {{:teaching:infoh415:student_projects:2019:xsb.pdf|Deductive databases and XSB}}: Gonçalo Moreira, Kaoutar Chennaf
-  * {{:teaching:infoh415:student_projects:2019:kafka.pdf|Distributed messaging with Apache Kafka}}: René Gómez Londoño, Ankush Sharma
-  * {{:teaching:infoh415:student_projects:2019:dynamodb.pdf|Distributed databases and DynamoDB}}: Elena Ouro, Carlos Badillo
-  * {{:teaching:infoh415:student_projects:2019:hive.pdf|Distributed databases and Apache Hive}}: Ricardo Rojas, Danilo Acosta
-  * {{:teaching:infoh415:student_projects:2019:mongodb.pdf|Document stores and MongoDB}}: Sivaporn Homvanish, Tzu-Man Wu
-  * {{:teaching:infoh415:student_projects:2019:couchbase.pdf|Document stores and CouchBase}}: Carlos Martinez Lorenzo, Pablo Molina Mata
-  * {{:teaching:infoh415:student_projects:2019:couchdb.pdf|Document stores and CouchDB}}: Aparna Khire, Mingrui Dong
-  * {{:teaching:infoh415:student_projects:2019:berkeleydb.pdf|Embedded databases and Berkeley DB}}: Ainhoa Zapirain, Nazrin Najafzade
-  * {{:teaching:infoh415:student_projects:2019:memsql.pdf|In-memory databases and MemSQL}}: Haydar Ali Ismail, Dwi Prasetyo Adi Nugroho
-  * {{:teaching:infoh415:student_projects:2019:redis.pdf|Key-value stores and Redis}}: Amritansh Sharma, Haftamu Hailu
-  * {{:teaching:infoh415:student_projects:2019:memcached.pdf|Key-value stores and Memcached}}: Nathan Hullebroeck, Julien Delbeke
-  * {{:teaching:infoh415:student_projects:2019:cassandra.pdf|NoSQL databases and Cassandra}}: Pratham Solanki, Braulio Blanco
-  * {{:teaching:infoh415:student_projects:2019:db4o.pdf|Object-oriented databases and db4o}}: Pinar Turkyilmaz, Annemarie Burger
-  * {{:teaching:infoh415:student_projects:2019:firebase.pdf|Real-time databases and Firebase}}: Pablo Lopez, Maria Gabriela Martinez
-  * {{:teaching:infoh415:student_projects:2019:elasticsearch.pdf|Search engines and ElasticSearch}}: Ioannis Prapas, Sokratis Papadopulos
-  * Search engines and Sphinx: Kevin SEFU, Antonio RAFAELE, Nestor RAMOS PEREZ
-  * {{:teaching:infoh415:student_projects:2019:rasdaman.pdf|Spatial data and Rasdaman}}: Fernando Mendes Stefanini, Evgeny Pozdeev
-  * {{:teaching:infoh415:student_projects:2019:influxdb.pdf|Time series databases and Influx DB}}: Shabana Salmaan, Danish Amjad
-  * {{:teaching:infoh415:student_projects:2019:kdb.pdf|Time series databases with Kdb+}}: Eugen Robert Patrascu, Kunal Arora
-  * {{:teaching:infoh415:student_projects:2019:hbase.pdf|Wide-column databases and Apache HBase}}: Edoardo Conte, Carlos E. Muniz Cuza
-  * {{:teaching:infoh415:student_projects:2019:basex.pdf|XML databases and BaseX}}: Marine Devers, Richard Bauwens
+  * Microsoft Azure and Google Cloud SQL: Marques Correia Tiago, Kellian Germain, Sébastien Arte, Nehili Adel
+  * Document databases with ArangoDB and MarkLogic: Mir Wise Khan, Rishika Gupta, Ahmad, Chidiebere Ogbuchi
+  * Document databases with MongoDB and CouchBase: Abd Abu Sbei, Hoschek Maren, Gupta Prashant, TBD
+  * Document databases with CouchDB and RavenDB: Aissa Abdoul-Aziz, Helin Demirel, Imane Moussaoui, Salma Mekarnia
+  * Embedded databases and BerkeleyDB and CouchBase Lite: Talhaoui Yassin, Arfani Abdessamad, Faek Ilias, Adegnon Kokou
+  * Key-value databases with etcd and Hazelcast: Liliia Aliakberova, Arina Gepalova, Jose Antonio Lorencio Abril, Mariana Mayorga Llano
+  * Key-value databases with OrientDB and Memcached: Mustapha Ayadi, Valentin De Baene, Soumaya Izmar, Yi Zhu
+  * Oriented Object Databases with ObjectBox and Perst: Belgada Naoufal, El Hamri Ayoub, Akroune Sami, Sif Eddine Boughris
+  * RDF databases with Virtuoso and Apache Jena: Nikola Ivanović, Bogdana Živković, Tianheng Zhou, You Xu
+  * Search engines with ElasticSearch and OpenSearch: Muhammad Rizwan Khalid, Sayyor Yusupov, Ali Abusaleh, Ali Belyazid
+  * Search engines databases with Solr and Manticore Search: Rachel Aouad Albshara, Loïc Cordeiro Fonseca, Quentin Magron, Dang Phi L. Pham
+  * Stream Databases with PipelineDB and HStreamDB: Idil Dikbas, Ehsan Gifani, TBD, TBD
+  * Time Series databases with InfluxDB and KDB: Luis Alfredo León, Jezuela Gega, Satria Wicaksono, Isabella Forero
+  * Timeseries databases with TimescaleDB and QuestDB: Koumudi Ganepola, Adina Bondoc, Zyad Al-Azazi, Alaa Almutawa
+  * Wide column stores with Cassandra and HBase: Anthony Zhou, Arnaud Cools, Damien Decleire, Thomas Dudziak
 ===== Examinations from Previous Years =====