Differences

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

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
Next revision Both sides next revision
teaching:infoh415 [2019/10/08 09:56]
gdejaege
teaching:infoh415 [2020/10/01 11:20]
ezimanyi [Objectives]
Line 32: Line 32:
  
 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 at the room S.AY2.108 +  * 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>​
  
 /*  /* 
Line 40: Line 41:
   * [[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]]
 */ */
 +
 +
 +
 ===== 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.
 +
 +
 +===== Objectives New =====
 +
 +Test and test
 ===== Content ===== ===== Content =====
  
Line 164: Line 173:
   * 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+, ...
Line 172: Line 181:
 ===== Topics for the current academic year ===== ===== Topics for the current academic year =====
  
-  ​* Analytics data warehouse and Google BigQuery: Hridaya Sagar Subedi, Alp Albay +  * Cloud databases and Microsoft Azure: ​Michel Nguyen-Khan and Soufian El Bakkali Tamara 
-  ​* Cloud databases and Microsoft Azure: ​Rodaina Mohamed, Karim Maatouk +  * Column stores and Cassandra: ​Wassil Choujaa ​and Ismaila Abdoulahi Adamou 
-  * Column stores and Cassandra: ​Andrea Armani, Anant Gupta +  * Document stores and MongoDB: ​Beata Janiak ​and Astrid Asoumoy 
-  * Data warehouses ​and Apache Hive: Emir Nurmatbekov,​ Mahmudul Hasan +  * Key-value ​databases ​and BerkeleyDBMohamed Amchemer and <TBD> 
-  * Document stores and MongoDB: ​Ledia Isaj, Fabrício Ferreira +  * Multimedia databases and Oracle: Fan Chen and <TBD> 
-  * Document stores ​and Couchbase: Samia Azzouzi, Brahim Amssafi +  * Object-oriented databases and PerstNicolas Boucher and Romain Perret 
-  * Embedded Databases and BerkeleyDB: Ali Arous, Maria Letizia Losso +  * Real-time databases and Firebase: ​Ali Dhanani ​and Cleis Kounalis 
-  * Key-value ​stores ​and RedisIra nazarchuk, Julio Candela +  * Search ​engines ​and SolrElasticSearchTatiana Millan Poveda and Erick Escobar Gallardo 
-  * Multimedia databases and Oracle: ​Muthi Dorel Adrian, ​Fan Chen +  * Stream ​databases ​and Apache ​Kafka, Event StoresAlexandre Libert and Antoine De Selys 
-  * Multimodel database ​and Microsoft Azure Cosmos DB: Dimitrios Tsesmelis, Ricardo Holthausen Bermejo +  * Time series databases and InfluxDB: ​Nada Elghazouani ​and Jean-Charles Nsangolo 
-  * NewSQL databases and VoltDB: Tamara Bojanic, Iva Mihajlovska + 
-  * Object-oriented databases and VersantYi Chiau Li, Yu Hsuan Chen +
-  * Real-time databases and Firebase: ​Jesus Huete, Valdemar Hernández +
-  * Search Engines ​and Elastic Search: Haroon Rashid, Djordjije Krivokapic +
-  * Search ​Engines ​and ELK stack with Kafka: Haftamu Hailu TeferaIshaan Rachit Dwivedi +
-  * Streaming Databases with Apache KafkaNithish Sankaranarayanan,​ Gayane Vardanyan +
-  * Stream ​Processing ​and Apache ​StormAriston Harianto Lim, Hung Nguyen +
-  * Time series databases and InfluxDB: ​Yalei Li, Haonan Jin +
-  * Time series databases ​and TimescaleDB:​ Uchechukwu Fortune Njoku, Akash Malhotra +
-  * XML databases and BaseX: Ayman Mountasser, Mohammed Amine Belfarsi+
  
-/*  * {{:​teaching:​infoh415:​student_projects:​2019:​azure.pdf|Cloud databases and Microsoft Azure}}: Sara Diaz, Buse Ozer */ 
 ===== Examinations from Previous Years ===== ===== Examinations from Previous Years =====
  
 
teaching/infoh415.txt · Last modified: 2023/12/04 18:14 by ezimanyi