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teaching:infoh419 [2021/10/17 14:58] ezimanyi [Groups of the current year] |
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| ===== Books ===== | ===== Books ===== | ||
| - | * [[https://www.springer.com/9783642546549|Data Warehouse Systems: Design and Implementation]] by Alejandro A. Vaisman and Esteban Zimányi. Springer, 2014. | + | * [[https://link.springer.com/978-3-662-65167-4|Data Warehouse Systems: Design and Implementation]], second edition, Alejandro A. Vaisman and Esteban Zimányi. Springer, 2022. |
| * [[http://www.morganclaypool.com/doi/abs/10.2200/s00299ed1v01y201009dtm009|Multidimensional Databases and Data Warehousing]] by Cristian S. Jensen, Torben Bach Pedersen, and Christian Thomsen. Morgan & Claypool Publishers. | * [[http://www.morganclaypool.com/doi/abs/10.2200/s00299ed1v01y201009dtm009|Multidimensional Databases and Data Warehousing]] by Cristian S. Jensen, Torben Bach Pedersen, and Christian Thomsen. Morgan & Claypool Publishers. | ||
| * [[http://www.mcgraw-hill.co.uk/html/0071610391.html|Data Warehouse Design: Modern Principles and Methodologies]] by Matteo Golfarelli and Stefano Rizzi. McGraw-Hill, 2009 | * [[http://www.mcgraw-hill.co.uk/html/0071610391.html|Data Warehouse Design: Modern Principles and Methodologies]] by Matteo Golfarelli and Stefano Rizzi. McGraw-Hill, 2009 | ||
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| The project evaluation will count for 30% of your total grade. This may seem undervalued, however, putting effort in the project will definitely help you in achieving a better understanding of the course material which will result in a better score in the paper exam which amounts for 70% of the grade. | The project evaluation will count for 30% of your total grade. This may seem undervalued, however, putting effort in the project will definitely help you in achieving a better understanding of the course material which will result in a better score in the paper exam which amounts for 70% of the grade. | ||
| + | |||
| + | ===== Tools of the previous year ===== | ||
| + | |||
| + | SQL Server, PostgreSQL, mySQL, Oracle, SQLite, mariadb, Spark SQL, DB2/Airflow, Microsoft Azure SQL, Citus, AWS Aurora, Google BigQuery, Impala | ||
| ===== Groups of the current year ===== | ===== Groups of the current year ===== | ||
| - | * SQL Server: Nicole Zafalón, Diogo Rapas, Andrés Espinal, Adam Broniewski | + | TBD |
| - | * PostgreSQL: Niccolò Morabito, CHUN HAN LI, Víctor Diví, Filip Sotiroski | + | |
| - | * mySQL: Valada kylynnyk, Yanjian Zhang, Zhicheng Lou, Kainaat Amjid | + | |
| - | * Oracle: El Achouchi Iliass, Belgada Wassim, Ajouaou Soufiane | + | |
| - | * SQLite: Laamiri Achraf, Mareghni Nidhal, Kuete Kamta Frank Jordan | + | |
| - | * mariadb: Tejaswini Dhupad, Himanshu Choudhary, Kamdem Tagne Thomas Borel, Sergio Postigo | + | |
| - | * Spark SQL: Yi Wu, Hang Yu, Zhiyang Guo, Mohammad Zain Abbas | + | |
| - | * DB2/Airflow: Md Jamiur Rahman Rifat, Khushnur Binte Jahangir, Asha Said Seif, Pietro Ferrazzi | + | |
| - | * Microsoft Azure SQL: Davide Rendina, Marita Hernandez, Luiz Fonseca, Zyrako Musaj | + | |
| - | * Cistus: Nazgul K. Rakhimzhanova, Mohammad Ismail Tirmizi, Maël Touret, Wassim Kezai | + | |
| - | * AWS Aurora: Hind Bakkali, Gaëlle Frauenkron, Mahmut Asım Onat, Salma Salmani | + | |
| - | * Google BigQuery: Soufian El Bakkali Tamara, Maciej Piekarski, David Silberwasser, Sami Abdul Sater | + | |
| - | * Impala: Yahya Bakkali, Amirmohammad Fallahi, Maxime Hauwaert, Alexandre Libert | + | |
| ===== Examinations from Previous Years ===== | ===== Examinations from Previous Years ===== | ||