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teaching:infoh419 [2018/09/17 18:32] ezimanyi [Group assignment] |
teaching:infoh419 [2018/09/17 18:58] ezimanyi [Group Project] |
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* [[teaching:infoh419:TP|Exercices Web page]] | * [[teaching:infoh419:TP|Exercices Web page]] | ||
- | ===== Group assignment ===== | + | ===== Group Project ===== |
- | The assignment is carried out in groups of 3 to 4 people. Before you can submit assignment part I, you will have to register in a group. For registering a group send an email to the lecturer. Please to select your group before or on 1/10/2018. | + | [[http://www.tpc.org|TPC]] is a non-profit corporation that defines transaction processing and database benchmarks and disseminates objective, verifiable TPC performance data to the industry. Regarding data warehouses, two TPC benchmarks are relevant: |
- | + | * [[http://www.tpc.org/tpcds/|TPC-DS]], the Decision Support Benchmark, which models the decision support functions of a retail product supplier. | |
- | The assignment consist of 2 parts: | + | * [[http://www.tpc.org/tpcdi/|TPC-DI]], the Data Integration Support Benchmark, which models a typical ETL process that loads a data warehouse. |
+ | 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 1/11/2018) | ||
* Part II: Implement the TPC-DI benchmark (deadline 20/12/2018) | * Part II: Implement the TPC-DI benchmark (deadline 20/12/2018) | ||
+ | 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 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. | ||
+ | |||
+ | The project is carried out in groups of 3 to 4 people, 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 registering a group send an email to the lecturer. Please to select your group before or on 1/10/2018. The submission deadlines for parts I and II are strict. | ||
- | The submission deadlines for parts I and II are strict. | + | The deliverables expected for each part of the project are the following: |
+ | * A report in pdf explaining the essential aspects of your implementation, and | ||
+ | * A zip file containing the code of your implementation, with all necessary instructions to be able to replicate your implementation by the lecturer. | ||
- | The assignment evaluation will count for 30% of your total grade. This may seem undervalued, however, putting effort in the assignment 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. |
===== Examinations from Previous Years ===== | ===== Examinations from Previous Years ===== |