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teaching:infoh419 [2019/10/02 11:30]
ezimanyi [Groups of the current year]
teaching:infoh419 [2022/09/19 11:25]
ezimanyi [Books]
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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 of the course consist of 2 parts: The project of the course consist of 2 parts:
-  * Part I: Implement the TPC-DS benchmark (deadline 1/11/2018+  * Part I: Implement the TPC-DS benchmark (deadline 1/11/2021
-  * Part II: Implement the TPC-DI benchmark (deadline ​20/12/2018)+  * Part II: Implement the TPC-DI benchmark (deadline ​24/12/2021)
 You have free choice to use the tools on which the two benchmarks will be implemented. For example, the TPC-DS benchmark could be implemented on SQL Server Analysis Services, Pentaho Analysis Services (aka Mondrian), etc. Similarly, the TPC-DI benchmark could be implemented on SQL Server Integration Services, Pentaho Data Integration,​ Talend Data Studio, SQL scripts, etc., which then load the data warehouse on a DBMS such as SQL Server, Oracle, PostgreSQL, etc.  You have free choice to use the tools on which the two benchmarks will be implemented. For example, the TPC-DS benchmark could be implemented on SQL Server Analysis Services, Pentaho Analysis Services (aka Mondrian), etc. Similarly, the TPC-DI benchmark could be implemented on SQL Server Integration Services, Pentaho Data Integration,​ Talend Data Studio, SQL scripts, etc., which then load the data warehouse on a DBMS such as SQL Server, Oracle, PostgreSQL, etc. 
  
-Furthermore,​ both benchmarks ​can be implemented with several scale factors, which determine the size of the resulting data warehouse. ​For the purposes of this project ​you can use the smallest ​scale factor.+Furthermore,​ both benchmarks ​must be implemented with several scale factors, which determine the size of the resulting data warehouse. ​You DO NOT need to use the scale factors mentioned in the TPC requirements. The pedagogical objectives aimed at is that you learn how to properly perform a benchmark. Therefore, you need to estimate ​the biggest ​scale factor ​that you can put on your own computer: this will be your reference scale factor, say 1.0, and then you will need to have 3 smaller scale factors, e.g., at 0.1, 0.2, and 0.5 of the full size in order to see the evolution of the performance.
  
-The project is carried out in groups of 3 to 4 persons, which will be the same for the two parts. Before you can submit part I of the project, you will have to register in a group. For this, please send an email to the lecturer with the information about your group by 1/10/2018 at the latest. The submission deadlines for parts I and II are strict.+The project is carried out in groups of 3-4 persons, which will be the same for the two parts. Before you can submit part I of the project, you will have to register in a group. For this, please send an email to the lecturer with the information about your group by 1/10/2020 at the latest. The submission deadlines for parts I and II are strict.
  
 The deliverables expected for each part of the project are the following: The deliverables expected for each part of the project are the following:
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 ===== Groups of the current year ===== ===== Groups of the current year =====
  
-  * SQL Server ​Integration Services (SSIS)SQL Server Analysis Services (SSAS)SQL ServerHung NguyenValdemar Hernández SilesJulio Candela CaceresAriston Harianto Lim +  * SQL Server: Nicole ZafalónDiogo RapasAndrés Espinal, Adam Broniewski 
-  * Pentaho Analysis ServicesPentaho Data IntegrationDimitrios TsesmelisAndrea ArmaniHridaya SubediUchechukwu Fortune Njoku +  * PostgreSQLNiccolò MorabitoCHUN HAN LIVíctor DivíFilip Sotiroski 
-  * Apache KylinTalend Open Studio, SQL ServerRicardo HolthausenAlp AlbayJesus Huete +  * mySQL: Valada kylynnykYanjian Zhang, Zhicheng Lou, Kainaat Amjid  
-  * MySQL<ETL tool TBD>Ali ArousFabrício FerreiraIshaan Rachit DwivediLedia Isaj +  * OracleEl Achouchi IliassBelgada WassimAjouaou Soufiane 
- +  * SQLite: Laamiri Achraf, Mareghni NidhalKuete Kamta Frank Jordan 
 +  * mariadb: Tejaswini DhupadHimanshu ChoudharyKamdem Tagne Thomas Borel, Sergio Postigo 
 +  * Spark SQL: Yi WuHang YuZhiyang Guo, Mohammad Zain Abbas 
 +  * DB2/​Airflow:​ Md Jamiur Rahman RifatKhushnur Binte Jahangir, Asha Said Seif, Pietro Ferrazzi 
 +  * Microsoft Azure SQLDavide RendinaMarita HernandezLuiz FonsecaZyrako Musaj 
 +  * Citus: 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 =====
  
 
teaching/infoh419.txt · Last modified: 2023/11/20 16:18 by ezimanyi