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--- teaching:infoh419 [2018/09/01 10:26]
ezimanyi [Books]
+++ teaching:infoh419 [2018/09/17 19:03]
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
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 The following materials have been used to construct the course material, but are not required reading for the course:
   * [[https://www.springer.com/9783540744047|Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications]], Elzbieta Malinowski, Esteban Zimányi, Springer, 2008
-  * [[https://www.kimballgroup.com/data-warehouse-business-intelligence-resources/books/data-warehouse-dw-lifecycle-toolkit/|The Data Warehouse Lifecycle Toolkit]] (2nd ed.) by Ralph Kimball , Margy Ross, Warren Thornthwaite, Joy Mundy, Bob Becker. Wiley, 2008.
+  * [[https://www.kimballgroup.com/data-warehouse-business-intelligence-resources/books/data-warehouse-dw-lifecycle-toolkit/|The Data Warehouse Lifecycle Toolkit]] (2nd ed.) by Ralph Kimball, Margy Ross, Warren Thornthwaite, Joy Mundy, Bob Becker. Wiley, 2008.
   * [[https://www.kimballgroup.com/data-warehouse-business-intelligence-resources/books/data-warehouse-dw-toolkit/|The Data Warehouse Toolkit]] (3rd ed.) by Ralph Kimball and Margy Ross. Wiley, 2013.
   * [[https://www.kimballgroup.com/data-warehouse-business-intelligence-resources/books/data-warehouse-dw-etl-toolkit/|The Data Warehouse ETL Toolkit]] by Ralph Kimball and Joe Caserta. Wiley, 2004.
-  * Building the Data Warehouse. 4th edition. Inmon, Wiley, 2005
+  * [[https://www.wiley.com/en-be/Building+the+Data+Warehouse%2C+4th+Edition-p-9780471774235|Building the Data Warehouse]] (4th ed.) by William H. Inmon, Wiley, 2005
-  * Data Warehousing Fundamentals For IT Professionals. 2nd edition. Paulraj Ponniah, Wiley, 2010
-==== Extra Resources ====
-  * [[http://www.teradatauniversitynetwork.com/|Teradata University Network]] For the 2013-2014 academic year, the student password is 'UnifiedDataArchitecture'
 ===== Prerequisites =====
-  * [[https://www.mheducation.com/highered/product/database-system-concepts-silberschatz-korth/M0073523321.html|Database System Concepts]] (Sixth Edition) by Abraham Silberschatz, Henri Korth, and S. Sudarshan. McGraw-Hill (2011)
+  * [[https://www.mheducation.com/highered/product/database-system-concepts-silberschatz-korth/M0073523321.html|Database System Concepts]] (6th ed.) by Abraham Silberschatz, Henri Korth, and S. Sudarshan. McGraw-Hill, 2011.
     * ER-modeling: Chapter 7
     * Keys and functional dependencies: Section 8.3.1
@@ Line 62: / 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 75: / 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 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 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 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 in standard computing infrastructure.
+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 =====