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teaching:infoh419 [2018/10/13 11:04] ezimanyi [Groups of the current year] |
teaching:infoh419 [2020/09/14 19:46] ezimanyi [Group Project] |
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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 1/11/2020) |
| - | * Part II: Implement the TPC-DI benchmark (deadline 20/12/2018) | + | * Part II: Implement the TPC-DI benchmark (deadline 20/12/2020) |
| 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 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. | ||
| - | 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 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 1/10/2020 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 ===== | ||
| - | * MySQL: Sara Diaz, Buse Ozer, Pinar Turkyilmaz and Shabana Salmaan | + | * SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), SQL Server: Hung Nguyen, Valdemar Hernández Siles, Julio Candela Caceres, Ariston Harianto Lim |
| - | * Group 2: Carlos Badillo, Sokratis Papadopoulos, Ioannis Prapas, Gabriela Martinez | + | * Pentaho Analysis Services, Pentaho Data Integration, PostgreSQL: Dimitrios Tsesmelis, Andrea Armani, Hridaya Subedi, Uchechukwu Fortune Njoku |
| - | * Apache Spark, Apache Hive, Kubernetes, Google Cloud Platform (GPC): Ricardo Rojas Ruiz, Annemarie Burger, Danilo J. Acosta Villalobos, Elena Ouro Paz | + | * Apache Kylin, Talend Open Studio, SQL Server: Ricardo Holthausen, Alp Albay, Jesus Huete |
| - | * MariaDB: Gonçalo Moreira, Nezrin Necefzade, Rémy Detobel, Shafagh Kashefzarelialestani | + | * MySQL, Apache Airflow, cube.js: Ali Arous, Fabrício Ferreira, Ishaan Rachit Dwivedi, Ledia Isaj |
| - | * Group 5: Eugen Patrascu, Kunal Arora, Edoardo Conte, Carlos E. Muniz Cuza | + | * Big Query, Cloud Data Fusion: Nithish Sankaranarayanan, Gayane Vardanyan, Yu-Hsuan Chen, Anant Gupta |
| - | * Group 6: Evgeny Pozdeev, Fernando Mendes Stefanini, Braulio Blanco Lambruschini, Pablo Jose Lopez Estigarribia | + | * Microsoft Azure and <TBD>: Rodaina Mohamed, Karim Maatouk, Yi Chiau Li, Haftamu Hailu Tefera |
| - | * Group 7: Ankush Sharma, René Gomez, Haftamu Hailu, Kaoutar Chennaf | + | * Apache Hive and <TBD>: Yalei Li, Haonan Jin, Akash Malhotra |
| - | * PostgreSQL: Pablo Molina Mata, Danish Amjad, Carlos Martínez Lorenzo | + | * <TBD> and Jaspersoft: Haroon Rashid, Mahmudul Hasan, Emir Nurmatbekov |
| - | * SQL Server: Sivaporn Homvanish, Tzu-man Wu, Ainhoa Zapirain Mariezcurrena | + | * Spark SQL and <TBD>: Iva Mihajlovska, Tamara Bojanic, Đorđije Krivokapic, Iryna Nazarchuk |
| - | * MemSQL: Amritansh Sharma, Dwi Prasetyo Adi Nugroho, Haydar Ali Ismail, Pratham Solanki | + | * Oracle and <TBD>: Samia Azzouzi, Piotr Rochala, Paul Moua |
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