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teaching:infoh415 [2019/09/17 09:42] ezimanyi [Schedule] |
teaching:infoh415 [2020/10/01 11:20] ezimanyi [Objectives New] |
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| The course is given during the first semester | The course is given during the first semester | ||
| - | * Lectures on Mondays from 2 pm to 4 pm at the room S.UA4.218 | + | * Lectures on Mondays from 4 pm to 6 pm at the room S.AY2.108 **except 14/10/2019 which is a practical session in S.UB4.130** |
| - | * Exercises on Thursdays from 2 pm to 4 pm at the room S.UB4.130 | + | * Exercises on Thursdays from 2 pm to 4 pm at the room S.UB4.130 <del>**except 24/10/2019 which is a lecture in S.UD2.119** |
| + | </del> | ||
| + | /* | ||
| {{:teaching:infoh415:infoh415schedule2018.pdf|Schedule}} | {{:teaching:infoh415:infoh415schedule2018.pdf|Schedule}} | ||
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| * [[http://www.google.com/calendar/embed?src=dug2eihu8tqtnkjhmtuupj0je0%40group.calendar.google.com&ctz=Europe/Brussels|Online schedule]] | * [[http://www.google.com/calendar/embed?src=dug2eihu8tqtnkjhmtuupj0je0%40group.calendar.google.com&ctz=Europe/Brussels|Online schedule]] | ||
| */ | */ | ||
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| ===== Objectives ===== | ===== 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. | 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. | ||
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| ===== Content ===== | ===== Content ===== | ||
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| Temporal data and applications. Time ontology. Conceptual modeling of temporal aspects. Manipulation of temporal data with standard SQL. | Temporal data and applications. Time ontology. Conceptual modeling of temporal aspects. Manipulation of temporal data with standard SQL. | ||
| - | ==== Object Databases ==== | + | ==== Graph Databases ==== |
| - | Object-oriented model. Object Persistance. ODMG standard: Object Definition Language and Object Query Language. | + | ... |
| ==== Spatial Databases ==== | ==== Spatial Databases ==== | ||
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| * {{teaching:infoh415:activenotes.pdf|Active databases}} | * {{teaching:infoh415:activenotes.pdf|Active databases}} | ||
| * {{teaching:infoh415:temporalnotes.pdf|Temporal databases}} | * {{teaching:infoh415:temporalnotes.pdf|Temporal databases}} | ||
| - | * {{teaching:infoh415:objectnotes.pdf|Object databases}} | + | /* * {{teaching:infoh415:objectnotes.pdf|Object databases}} */ |
| + | * {{:teaching:infoh415:graph_databases_notes.zip|Graph Notes}} | ||
| * {{teaching:infoh415:spatialnotes.pdf|Spatial databases}} | * {{teaching:infoh415:spatialnotes.pdf|Spatial databases}} | ||
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| * 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 | ||
| - | * Graph Databases and Neo4J, OrientDB, ... | ||
| * In-memory databases and Kdb+, MemSQL, Oracle TimesTen, Memcached, .... | * In-memory databases and Kdb+, MemSQL, Oracle TimesTen, Memcached, .... | ||
| * Key-value stores and Redis, Voldermort, ... | * Key-value stores and Redis, Voldermort, ... | ||
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| * Real-time databases and Firebase | * Real-time databases and Firebase | ||
| * Search engines and Solr, ElasticSearch, Sphinx ... | * Search engines and Solr, ElasticSearch, Sphinx ... | ||
| - | * Spatial databases and Rasdaman | + | * Spatial raster databases and Rasdaman |
| * Stream databases and Apache Kafka | * Stream databases and Apache Kafka | ||
| * Time series databases and Influx DB, Kdb+, ... | * Time series databases and Influx DB, Kdb+, ... | ||
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| ===== Topics for the current academic year ===== | ===== Topics for the current academic year ===== | ||
| - | To be done | + | * Cloud databases and Microsoft Azure: Michel Nguyen-Khan and Soufian El Bakkali Tamara |
| + | * Column stores and Cassandra: Wassil Choujaa and Ismaila Abdoulahi Adamou | ||
| + | * Document stores and MongoDB: Beata Janiak and Astrid Asoumoy | ||
| + | * Key-value databases and BerkeleyDB: Mohamed Amchemer and <TBD> | ||
| + | * Multimedia databases and Oracle: Fan Chen and <TBD> | ||
| + | * Object-oriented databases and Perst: Nicolas Boucher and Romain Perret | ||
| + | * Real-time databases and Firebase: Ali Dhanani and Cleis Kounalis | ||
| + | * Search engines and Solr, ElasticSearch: Tatiana Millan Poveda and Erick Escobar Gallardo | ||
| + | * Stream databases and Apache Kafka, Event Stores: Alexandre Libert and Antoine De Selys | ||
| + | * Time series databases and InfluxDB: Nada Elghazouani and Jean-Charles Nsangolo | ||
| + | |||
| - | /* * {{:teaching:infoh415:student_projects:2019:azure.pdf|Cloud databases and Microsoft Azure}}: Sara Diaz, Buse Ozer */ | ||
| ===== Examinations from Previous Years ===== | ===== Examinations from Previous Years ===== | ||