Differences

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

--- teaching:infoh419 [2018/09/01 10:31]
ezimanyi [Prerequisites]
+++ teaching:infoh419 [2018/09/17 18:53]
ezimanyi [Group Project]
@@ Line 6: / Line 6: @@
   * [[http://cs.ulb.ac.be/members/esteban/|Esteban Zimányi]]
   * <ezimanyi@ulb.ac.be>
-  * Room SU A 4.115
 ===== Volume =====
@@ Line 18: / Line 16: @@
   * Master in Computer Sciences [INFO]
   * Erasmus Mundus Master in Big Data Management and Analytics (BDMA)
+===== Schedule =====
+The course is given during the first semester
+  * Lectures on Tuesdays from 2 pm to 4 pm at the room S.UA4.218
+  * Exercises on Fridays from 4 pm to 6 pm at the room S.UB4.130
 ===== Grading =====
@@ Line 34: / Line 38: @@
 ===== Books =====
-  * [[https://www.springer.com/9783642546549|Data Warehouse Systems: Design and Implementation]] by Aljeandro A. Vaisman and Esteban Zimányi. Springer, 2014.
+  * [[https://www.springer.com/9783642546549|Data Warehouse Systems: Design and Implementation]] by Alejandro A. Vaisman and Esteban Zimányi. Springer, 2014.
   * [[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
@@ Line 59: / Line 63: @@
   * {{teaching:infoh419:dw01-introduction.pdf|Introduction}}
   * {{teaching:infoh419:dw02-cubes.pdf|Cubes}}
+    * {{teaching:infoh419:database_explosion_report.pdf|Database explosion report}}
+    * {{teaching:infoh419:database_explosion.pdf|Database explosion}}
   * {{teaching:infoh419:dw03-dfm.pdf|Dimension Fact Model}}
   * {{teaching:infoh419:dw04-logicalmodel.pdf|Logical Model}}
@@ Line 72: / Line 78: @@
 ===== Software =====
-  * For the exercises we use the SQLServer tools: MS SQLServer, SS Intergration Services, SS Analysis services, and SS Reporting Services
+All software used in the course is available in the computer labs. Students who wish a personal copy of the software on their own computers, can get free copies of the software. Succinct instructions to acquire the software have been included below; in case additional help is required you can contact the sysadmin of the department: Arthur Lesuisse <alesuiss@ulb.ac.be>
+  * MS SQL Server Tools: can be downloaded for free from http://www.academicshop.be/msdnaa/ Register on this page with your ULB email address, and 'order' the free msdnaa. After verification you receive login credentials to download quite a few software packages for free. Select the SQL Server 2014 Enterprise edition.
+  * Indyco Builder can be downloaded from http://www.indyco.com/ . License keys for all students will be added soon.
 ===== Exercises =====
   * [[teaching:infoh419:TP|Exercices Web page]]
+===== Group Project =====
+[[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.
+  * [[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 II: Implement the TPC-DI benchmark (deadline 20/12/2018)
+You will have free choice to use the tools on which the two benchmarks will be built. 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.
+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 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 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 =====