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mds:dsd:start [24/11/2021 alle 12:56 (2 anni fa)]
Salvatore Ruggieri [Exams]
mds:dsd:start [21/03/2023 alle 14:15 (12 mesi fa)]
Salvatore Ruggieri [Exams]
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-====== Decision Support Databases A.Y. 2021/22 ======+====== Decision Support Systems - Module I (6 ECTS): Decision Support Databases A.Y. 2022/23 ======
  
-The course presents the main approaches to the design and implementation of decision support databases, and the characteristics of business intelligence tools and computer based information systems used to produce summary information to facilitate appropriate decision-making processes and make them more quick and objectives. Particular attention will be paid to themes such as conceptual and logical Data Warehouses design, data analysis using analytic SQL, algorithms for selecting materialized views, data warehouse systems technology (indexes, star query optimization, physical design, query rewrite methods to use materialized views). A part of the course will be dedicated to a collection of case studies.+This is the first module of [[mds:dss:start|Decision Support Systems]] (801AA, 12 ECTS), previously called [[mds:dsd:2021|Decision Support Databases]] (662AA, 6 ECTS).  
 + 
 +The module presents the main approaches to the design and implementation of decision support databases, and the characteristics of business intelligence tools and computer based information systems used to produce summary information to facilitate appropriate decision-making processes and make them more quick and objectives. Specific attention will be paid to themes such as conceptual and logical Data Warehouses design, data analysis using analytic SQL, algorithms for selecting materialized views, data warehouse systems technology (indexes, star query optimization, physical design, query rewrite methods to use materialized views). A part of the course will be dedicated to a collection of case studies.
  
 <html><!--<p style="color:#FF0000";><b>The server managing video-recordings and SQL Server is DOWN till Monday 23 November.</b></p>--></html> <html><!--<p style="color:#FF0000";><b>The server managing video-recordings and SQL Server is DOWN till Monday 23 November.</b></p>--></html>
 =====Instructor===== =====Instructor=====
  
-  * **Salvatore Ruggieri** (Lectures)+  * **Salvatore Ruggieri** 
     * Università di Pisa     * Università di Pisa
     * [[http://pages.di.unipi.it/ruggieri/]]     * [[http://pages.di.unipi.it/ruggieri/]]
     * [[salvatore.ruggieri@unipi.it]]       * [[salvatore.ruggieri@unipi.it]]  
-    * <del>**Office hours:** Tuesdays h 14:00 - 17:00 or by appointment, Department of Computer Science, room 321/DO.</del> +    * **Office hours:** Wednesdays h 14:00 - 16:00 or by appointment, at the Department of Computer Science, room 321/DO, or via Teams.
-    * **Office hours only via Skype or Teams by appointmentSkype contact: salvatore.ruggieri**+
  
  
 =====Classes===== =====Classes=====
- 
-Lessons will be also live-streamed on the [[https://teams.microsoft.com/l/team/19%3a3WUVDFKLmNbj2SXQnQzK1_BADY_6B1nZNbVXjg4qo8Y1%40thread.tacv2/conversations?groupId=a4c2f53f-0175-451f-96dc-f9f0bf8a1819&tenantId=c7456b31-a220-47f5-be52-473828670aa1|Teams space]].\\  
- 
  
 ^  Day of Week  ^  Hour  ^  Room  ^  ^  Day of Week  ^  Hour  ^  Room  ^ 
-|  Tuesday  |  9:00 - 11:00  |  Fib M1  | +|  Wednesday  |  11:00 - 13:00  |  Fib C1  | 
-|  Friday  |  16:00 - 18:00  |  Fib  |+|  Thursday  |  14:00 - 16:00  |  Fib M1  |
  
  
 =====Mandatory teaching material ===== =====Mandatory teaching material =====
  
-  * **[DW]** A. Albano, S. Ruggieri. [[http://patterns.di.unipi.it/bsd/DWessential-2021.pdf|Decision Support Databases Essentials]], University of Pisa, 17 February 2021.  +  * **[DW]** A. Albano, S. Ruggieri. [[http://fondamentidibasididati.it/wp-content/uploads/2020/11/DWessential-2021-C3-12-21.pdf|Decision Support Databases Essentials]], University of Pisa, 2 December 2021.  
-  * **[DB]** A. Albano. [[http://fondamentidibasididati.it/DBEssential-2021.pdf|DB Essentials]], University of Pisa, 1 December 2020. This is a self-contained excerpt (in English) from[[http://fondamentidibasididati.it|Fondamenti di basi di dati]] (in Italian, free download). +  * **[DB]** A. Albano. [[http://fondamentidibasididati.it/wp-content/uploads/2020/11/DBEssential-2021-C30-11-21.pdf|DB Essentials]] and [[http://fondamentidibasididati.it/wp-content/uploads/2020/11/DBEssential-2020-Soluzioni-C30-11-21.pdf|solutions to exercises]], University of Pisa, 1 December 2020. This is a self-contained excerpt (in English) from the book [[http://fondamentidibasididati.it|Fondamenti di basi di dati]] (in Italian, free download). 
-  * Examples of [[http://patterns.di.unipi.it/bsd/DSDsamples.pdf|written exams with solutions]] and [[http://patterns.di.unipi.it/bsd/dsd2020sample.pdf|written exam]].+  * Examples of [[http://patterns.di.unipi.it/dsd/DSDsamples.pdf|written exams with solutions]] and [[http://patterns.di.unipi.it/dsd/dsd2020sample.pdf|written exam]].
 =====Software===== =====Software=====
  
-  * [[http://fondamentidibasididati.it/index.php/about-jrs/|JRS]] for practicing with logical and physical SQL query plans. JRS requires [[https://www.oracle.com/java/technologies/downloads/#java8|Java SE 8]] (need to register to download) +  * [[http://fondamentidibasididati.it/index.php/download/|JRS]] for practicing with logical and physical SQL query plans. JRS requires [[https://www.oracle.com/java/technologies/downloads/#java8|Java SE Runtime Environment 8u341]] (need to register to download) 
-  * [[https://docs.microsoft.com/en-us/sql/azure-data-studio/download|Azure Data Studio]] client for connecting to SQL Server DBMS Foodmart database+  * [[https://docs.microsoft.com/en-us/sql/azure-data-studio/download|Azure Data Studio]] or [[https://docs.microsoft.com/en-us/sql/ssms/download-sql-server-management-studio-ssms|SQL Server Management Studio]] client for connecting to SQL Server DBMS Foodmart database
   * [[https://start.unipi.it/en/help-ict/vpn/|Access to University digital services through VPN]] connect to unipi VPN (unless you are already in the unipi.it network) for accessing the Foodmart database   * [[https://start.unipi.it/en/help-ict/vpn/|Access to University digital services through VPN]] connect to unipi VPN (unless you are already in the unipi.it network) for accessing the Foodmart database
  
 =====Preliminary program and calendar===== =====Preliminary program and calendar=====
  
-  * [[https://esami.unipi.it/programma.php?c=52424&aa=2021|Preliminary program]]. +  * [[https://esami.unipi.it/programma.php?c=57058&aa=2022|Preliminary program]]. 
-  * [[https://didattica.di.unipi.it/en/master-programme-in-data-science-and-business-informatics/academic-calendar-2021-2022/|Calendar of lessons]].+  * [[https://didattica.di.unipi.it/en/master-programme-in-data-science-and-business-informatics/academic-calendar-2022-2023/|Calendar of lessons]].
  
  
 =====Exams===== =====Exams=====
  
-__//There are no mid-terms//.__ The exam consists of a written part and an oral part. The written part consists of open questions, small exercises, and a Data Warehouse design problem. Each question is assigned a grade, summing up to 30 points. Students are admitted to the oral part if they receive a grade of at least 18 points. Oral consists of critical discussion of the written part and of open questions and problem solving on the topics of the course. +__//There are no mid-terms//.__ The exam of Decision Support Systems (801AA, 12 ECTS) consists of a written part and an oral part on the topics of the first module (50% of the final grade), and a lab project with discussion on the topics of the second module (50% of the final grade). The written part consists of open questions, small exercises, and a Data Warehouse design problem. Each question is assigned a grade, summing up to 30 points. Students are admitted to the oral part if they receive a grade of at least 18 points. Oral consists of critical discussion of the written part and of open questions and problem solving on the topics of the course. See [[mds:lbi:start|Module II: Laboratory of Data Science]] for the lab project.
  
-Registration to exams is mandatory (**look at the deadline for registering!**): [[https://esami.unipi.it/esami2/|register here]]\\+Registration to the written exam is mandatory (**look at the deadline for registering!**): [[https://esami.unipi.it/esami2/|register here]]\\
  
 ^  Date  ^  Hour  ^  Room  ^  Notes  ^ ^  Date  ^  Hour  ^  Room  ^  Notes  ^
-|  18/1/2022   14:00 - 16:00  |  TBD |   +|  1/6/2023   14:00 - 16:00  |  TBD   
-|  8/2/2022   14:00 - 16:00  |  TBD |   |+|  22/6/2023   14:00 - 16:00  |  TBD   | 
 +|  12/7/2023  |  16:00 - 18:00  |  TBD  |  |
  
-<html> +<html><! -- 
-<!-- +|  16/3/2023   14:00 - 16:00  |  M1  | [[https://didattica.di.unipi.it/en/appelli-straordinari/|Extra-ordinary exam]] |
-|  10/09/2021  |  14:00 - 16:00  |  Online |  **Written exam ONLINE only!** +
-|  27/11/2020   14:00 - 16:00  |  Online exam  | [[https://didattica.di.unipi.it/en/appelli-straordinari/|Extra-ordinary exam]] |+
 --> -->
 </html> </html>
  
-=====Class calendar =====+=====Teams channel =====
  
-Lessons will be also live-streamed on the [[https://teams.microsoft.com/l/team/19%3a3WUVDFKLmNbj2SXQnQzK1_BADY_6B1nZNbVXjg4qo8Y1%40thread.tacv2/conversations?groupId=a4c2f53f-0175-451f-96dc-f9f0bf8a1819&tenantId=c7456b31-a220-47f5-be52-473828670aa1|Teams space]].\\ +[[https://teams.microsoft.com/l/team/19%3aE3in1CcEGzs_W-8NNuQbNkuua_UaPIAzamLvzVNswdw1%40thread.tacv2/conversations?groupId=279299f3-aa07-48b1-8ec6-b2fd1a6d125d&tenantId=c7456b31-a220-47f5-be52-473828670aa1|Teams channel]] will be used to post news, Q&A, and other stuff related to the course. 
 + 
 +=====Class calendar =====
  
-Recordings and teaching material are password protected. Ask the teacher for credentials.\\+Lessons will be **NOT** be live-streamed, but recordings of past years are available here for non-attending students.\\
  
-To watch the recordings, please right click on the link and download the whole fileTo watch the files locally to your computer, you can use e.g. [[http://www.videolan.org/vlc/|VLC media player]].+Recordings and teaching material are **password protected**Ask the teacher for credentials.\\
  
 +To watch the recordings online, you must be connected to the [[https://start.unipi.it/en/help-ict/vpn/|unipi.it VPN]]. Alternatively, right click on the link and download the whole file, then watch it locally on your device using e.g. [[http://www.videolan.org/vlc/|VLC media player]].
  
-**2021-01.** //Tuesday 14 September 20219-11//  **[DW: 1.1-1.2]** [[http://patterns.di.unipi.it/bsd/video/dsd01_20210914.mp4|rec01 audio-video (.mp4)]]+**2022-01.** //Thursday 15 September 202214-16// **[DW: 1.1-1.2]**  [[http://patterns.di.unipi.it/dsd/video/dsd01_20220915.mp4|rec01 audio-video (.mp4) current year]]
  
 Course overview. Need for Strategic Information. Information Systems in Organizations: Operational and Decision support. Data driven Decision support systems and Business Intelligence applications. From data to information for decision making. Types of data synthesis: Reports, Multidimensional data analysis, Exploratory data analysis. Course overview. Need for Strategic Information. Information Systems in Organizations: Operational and Decision support. Data driven Decision support systems and Business Intelligence applications. From data to information for decision making. Types of data synthesis: Reports, Multidimensional data analysis, Exploratory data analysis.
-   
  
-**2021-02.** //Friday 17 September 202116-18//  **[DW: 1.3-1.7]** [[http://patterns.di.unipi.it/bsd/video/dsd02_20180919.flv|rec02 audio-video (.flv) past years]]+**2022-02.** //Wednesday 21 September 202211-13// **[DW: 1.3-1.7]**  [[http://patterns.di.unipi.it/dsd/video/dsd02_20180919.flv|rec02 audio-video (.flv) past years]]
  
 The data warehouse (DW) and DW architectures. What to model in a DW: Facts, measures, dimensions and dimensional hierarchies. Examples of data analysis. Exercises on data analysis in SQL. The data warehouse (DW) and DW architectures. What to model in a DW: Facts, measures, dimensions and dimensional hierarchies. Examples of data analysis. Exercises on data analysis in SQL.
  
-**2021-03.** //Tuesday 21 September 20219-11// **[DB: 1.1, 2.1-2.5]** [[http://patterns.di.unipi.it/bsd/video/dsd03_20210921.mp4|rec03 audio-video (.mp4)]]+**2022-03.** //Thursday 22 September 202214-16// **[DB: 1.1, 2.1-2.5]** [[http://patterns.di.unipi.it/dsd/video/dsd03_20210921.mp4|rec03 audio-video (.mp4) past years]]
  
-Recalls: the Object Data Model. [[http://patterns.di.unipi.it/bsd/dsd.03.assignments.pdf|Exercises at home for the lesson 2021-05]].+Recalls: the Object Data Model. [[http://patterns.di.unipi.it/dsd/dsd.03.assignments.pdf|Exercises at home (Assignments I and II) for the lesson 2022-05]].
  
-**2021-04.** //Friday 24 September 202116-18//  **[DW: 2.1]**  [[http://patterns.di.unipi.it/bsd/video/dsd04_20170929.flv|rec04 audio-video (.flv) past years]]+**2022-04.** //Wednesday 28 September 202211-13// **[DW: 2.1]**  [[http://patterns.di.unipi.it/dsd/video/dsd04_20170929.flv|rec04 audio-video (.flv) past years]]
  
 DW modeling. A conceptual multidimensional data model. Representation of Fact, measures, dimensions, attributes and dimensional hierarchies. Key steps in conceptual design from business questions. How to identify fact types and fact granularity and measure types. How to identify dimensions, dimensional attributes and hierarchies. Examples. DW modeling. A conceptual multidimensional data model. Representation of Fact, measures, dimensions, attributes and dimensional hierarchies. Key steps in conceptual design from business questions. How to identify fact types and fact granularity and measure types. How to identify dimensions, dimensional attributes and hierarchies. Examples.
-[[http://patterns.di.unipi.it/bsd/dsd.04.assignments.pdf|Exercises at home for the lesson 2021-05]].+[[http://patterns.di.unipi.it/dsd/dsd.04.assignments.pdf|Exercises at home (University exams) for the lesson 2022-05]].
  
-**2021-05.** //Tuesday 28 September 20219-11// **[DW: 2.1, A.1]**  [[http://patterns.di.unipi.it/bsd/video/dsd05_20210928.mp4|rec05 audio-video (.mp4)]]+**2022-05.** //Thursday 29 September 202214-16// **[DW: 2.1, A.1]**  [[http://patterns.di.unipi.it/dsd/video/dsd05_20210928.mp4|rec05 audio-video (.mp4) past years]]
  
-The example of a data model for Master program exams. Presentation and discussion of the Hospital case study.  [[http://patterns.di.unipi.it/bsd/dsd.05.assignments.pdf|Exercises at home for the lesson 2021-07]].+The example of a data model for Master program exams. Presentation and discussion of the Hospital case study.  [[http://patterns.di.unipi.it/dsd/dsd.05.assignments.pdf|Exercises at home (Assignment III) for the lesson 2022-07]].
  
- +**2022-06.** //Wednesday 5 October 202211-13// **[DB: 3.1-3.2]**  [[http://patterns.di.unipi.it/dsd/video/dsd06_20211001.mp4|rec06 audio-video (.mp4) past years]]
-**2021-06.** //Friday 1 October 202116-18// **[DB: 3.1-3.2]**  [[http://patterns.di.unipi.it/bsd/video/dsd06_20211001.mp4|rec06 audio-video (.mp4)]]+
  
 Recalls: the relational model and relational algebra. Exercises.  Recalls: the relational model and relational algebra. Exercises. 
-[[http://patterns.di.unipi.it/bsd/dsd.06.assignments.pdf|Exercises at home for the lesson 2021-08]].+[[http://patterns.di.unipi.it/dsd/dsd.06.assignments.pdf|Exercises at home (Assignment IV) for the lesson 2022-08]].
  
-**2021-07.** //Tuesday 5 October 20219-11// **[DW: 2.1, 2.2, A.1, B.1]** [[http://patterns.di.unipi.it/bsd/video/dsd07_20211005.mp4|rec07 audio-video (.mp4)]]+**2022-07.** //Thursday 6 October 202214-16// **[DW: 2.1, 2.2, A.1, B.1]** [[http://patterns.di.unipi.it/dsd/video/dsd07_20211005.mp4|rec07 audio-video (.mp4) past years]]
  
-More about data mart conceptual design, changing dimensions and advanced data model features. From Conceptual design to relational logical design. Star model, snowflake, and constellation. Logical schema of the Hospital case study. [[http://patterns.di.unipi.it/bsd/dsd.07.assignments.pdf|Exercises at home for the lesson 2021-09]].+More about data mart conceptual design, changing dimensions and advanced data model features. From Conceptual design to relational logical design. Star model, snowflake, and constellation. Logical schema of the Hospital case study. [[http://patterns.di.unipi.it/dsd/dsd.07.assignments.pdf|Exercises at home (Travel agency) for the lesson 2022-09]].
  
-**2021-08.** //Friday 8 October 202116-18// **[DB: 3.2-3.4]** [[http://patterns.di.unipi.it/bsd/video/dsd08_20211008.mp4|rec08 audio-video (.mp4)]]+**2022-08.** //Wednesday 12 October 202211-13//  **[DB: 3.2-3.4]** [[http://patterns.di.unipi.it/dsd/video/dsd08_20211008.mp4|rec08 audio-video (.mp4) past years]]
  
-Recalls: the relational model and relational algebra. Logical trees. [[http://patterns.di.unipi.it/bsd/dsd.08.exercises.pdf|Exercises with JRS]].  [[http://patterns.di.unipi.it/bsd/dsd.08.assignments.pdf|Exercises at home for the lesson 2021-09]].+Recalls: the relational model and relational algebra. Logical trees. [[http://patterns.di.unipi.it/dsd/dsd.08.exercises.pdf|Exercises with JRS]].  [[http://patterns.di.unipi.it/dsd/dsd.08.assignments.pdf|Exercises at home (Airline companies) for the lesson 2022-09]].
  
-**2021-09.** //Tuesday 12 October 20219-11//  **[DW: A.2, B.2]** [[http://patterns.di.unipi.it/bsd/video/dsd09_20211012.mp4|rec09 audio-video (.mp4)]]+**2022-09.** //Thursday 13 October 202214-16// **[DW: A.2, B.2]** [[http://patterns.di.unipi.it/dsd/video/dsd09_20211012.mp4|rec09 audio-video (.mp4) past years]]
  
 Discussion of students' solutions of conceptual and logical design case studies.   Discussion of students' solutions of conceptual and logical design case studies.  
  
-**2021-10.** //Friday 15 October 202116-18// **[DW: 3.1-3.5]** [[http://patterns.di.unipi.it/bsd/video/dsd10_20211015.mp4|rec10 audio-video (.mp4)]]+**2022-10.** //Wednesday 19 October 202211-13// **[DW: 3.1-3.5]** [[http://patterns.di.unipi.it/dsd/video/dsd10_20211015.mp4|rec10 audio-video (.mp4) past years]]
  
 Data Warehouse design approaches. Data mart logical design.  Data Warehouse design approaches. Data mart logical design. 
  
-**2021-11.** //Tuesday 19 October 20219-11// **[DW: 3.1-3.5]**[[http://patterns.di.unipi.it/bsd/video/dsd11_20211019.mp4|rec11 audio-video (.mp4)]]+**2022-11.** //Thursday 20  October 202214-16// **[DW: 3.1-3.5]** [[http://patterns.di.unipi.it/dsd/video/dsd11_20221020.mp4|rec11 audio-video (.mp4) current year]]
  
-Slowly changing dimensions, fast changing dimensions, shared dimensions. Recursive hierarchies. Multivalued dimensions. [[http://patterns.di.unipi.it/bsd/dsd.11.assignments.pdf|Exercises at home for the lesson 2021-12]].+Slowly changing dimensions, fast changing dimensions, shared dimensions. Recursive hierarchies. Multivalued dimensions. [[http://patterns.di.unipi.it/dsd/dsd.11.assignments.pdf|Exercises at home (Travel agency extended) for the lesson 2022-12]].
  
-**2021-12.** //Friday 22 October 202116-18// **[DW: 4.1-4.8]** [[http://patterns.di.unipi.it/bsd/video/dsd12_20211022.mp4|rec12 audio-video (.mp4)]]+**2022-12.** //Wednesday 26 October 202211-13//  **[DW: 4.1-4.8]** [[http://patterns.di.unipi.it/dsd/video/dsd12_20211022.mp4|rec12 audio-video (.mp4) past years]]
  
-A DW to support Analytical CRM Analysis. Wrap up on DW design.  [[http://patterns.di.unipi.it/bsd/dsd.12.assignments.pdf|Exercises at home for the lesson 2021-14]].+A DW to support Analytical CRM Analysis. Wrap up on DW design.  [[http://patterns.di.unipi.it/dsd/dsd.12.assignments.pdf|Exercises at home for the lesson 2021-14]].
  
-**2021-13.** //Tuesday 26 October 20219-11// **[DW: 2.3, 2.4]**[[http://patterns.di.unipi.it/bsd/video/dsd13_20211026.mp4|rec13 audio-video (.mp4)]]+**2022-13.** //Thursday 27 October 202214-16//  **[DW: 2.3, 2.4]**[[http://patterns.di.unipi.it/dsd/video/dsd13_20211026.mp4|rec13 audio-video (.mp4) past years]]
  
 Multidimensional Cube model: OLAP Operations. The extended cube and the lattice of cuboids. Pivot tables in Excel. PowerPivot.\\ Multidimensional Cube model: OLAP Operations. The extended cube and the lattice of cuboids. Pivot tables in Excel. PowerPivot.\\
 **Additional learning material:** **Additional learning material:**
-  * G. Harvey. Excel 2013 All-in-One For Dummies, 2013. [[http://patterns.di.unipi.it/bsd/PivotTable2013BookVIIchpt2.pdf|Chp. VII-2]] and [[http://patterns.di.unipi.it/bsd/HerbalTeas.xlsx|example data for pivot table]].+  * G. Harvey. Excel 2013 All-in-One For Dummies, 2013. [[http://patterns.di.unipi.it/dsd/PivotTable2013BookVIIchpt2.pdf|Chp. VII-2]] and [[http://patterns.di.unipi.it/dsd/HerbalTeas.xlsx|example data for pivot table]].
   * [[https://support.office.com/en-us/article/power-pivot-overview-and-learning-f9001958-7901-4caa-ad80-028a6d2432ed|Power Pivot overview]].   * [[https://support.office.com/en-us/article/power-pivot-overview-and-learning-f9001958-7901-4caa-ad80-028a6d2432ed|Power Pivot overview]].
  
-**2021-14.** //Friday 29 October 202116-18// **[DB: 4.1-4.2,5.1-5.11]** [[http://patterns.di.unipi.it/bsd/video/dsd14_20211029.mp4|rec14 audio-video (.mp4)]]+**2022-14.** //Wednesday 2 November 202211-13//  **[DB: 4.1-4.2,5.1-5.11]** [[http://patterns.di.unipi.it/dsd/video/dsd14_20221102.mp4|rec14 audio-video (.mp4) current year]]
  
 Recalls on: DBMS, from SQL to extended relational algebra. Exercises.  Recalls on: DBMS, from SQL to extended relational algebra. Exercises. 
-[[http://patterns.di.unipi.it/bsd/dsd.14.assignments.pdf|Exercises at home for the lesson 2021-15]].+[[http://patterns.di.unipi.it/dsd/dsd.14.assignments.pdf|Exercises at home for the lesson 2021-15]].
  
-**2021-15.** //Tuesday 2 November 20219-11//  **[DW: 5.1-5.3]** [[http://patterns.di.unipi.it/bsd/video/dsd15_20211102.mp4|rec15 audio-video (.mp4)]]+**2022-15.** //Thursday 3 November 202214-16//   **[DW: 5.1-5.3]** [[http://patterns.di.unipi.it/dsd/video/dsd15_20211102.mp4|rec15 audio-video (.mp4) past years]]
  
 OLAP systems. Data Analysis Using SQL. Simple reports. Examples. Moderately Difficult Reports. Solutions in SQL.  OLAP systems. Data Analysis Using SQL. Simple reports. Examples. Moderately Difficult Reports. Solutions in SQL. 
-[[http://patterns.di.unipi.it/bsd/dsd.15.foodmart.pdf|Foodmart datawarehouse schema]].+[[http://patterns.di.unipi.it/dsd/dsd.15.foodmart.pdf|Foodmart datawarehouse schema]].
  
-**2021-16.** //Friday 5 November 202116-18// **[DW: 5.4-5.5]** [[http://patterns.di.unipi.it/bsd/video/dsd16_20211105.mp4|rec16 audio-video (.mp4)]]+**2022-16.** //Wednesday 9 November 202211-13//  **[DW: 5.4-5.5]** [[http://patterns.di.unipi.it/dsd/video/dsd16_20211105.mp4|rec16 audio-video (.mp4) past years]]
  
-Examples of variance reports. Very Difficult Reports without Analytic SQL. Example of reports with ranks. Analytic Functions with the use of partitions and running totals. Examples.  [[http://patterns.di.unipi.it/bsd/dsd.16.assignments.pdf|Exercises at home for the lesson 2021-17]].+Examples of variance reports. Very Difficult Reports without Analytic SQL. Example of reports with ranks. Analytic Functions with the use of partitions and running totals. Examples.  [[http://patterns.di.unipi.it/dsd/dsd.16.assignments.pdf|Exercises at home for the lesson 2021-17]].
  
-**2021-17.** //Tuesday 9 November 20219-11//  **[DW: 5.5-5.6]** [[http://patterns.di.unipi.it/bsd/video/dsd17_20211109.mp4|rec17 audio-video (.mp4)]]+**2022-17.** //Thursday 10 November 202214-16//   **[DW: 5.5-5.6]** [[http://patterns.di.unipi.it/dsd/video/dsd17_20211109.mp4|rec17 audio-video (.mp4) past years]]
  
-Analytic Functions with the use of moving windows. Examples. Exercises on Analytic SQL. [[http://patterns.di.unipi.it/bsd/dsd.17.assignments.pdf|Exercises during the lesson and at home]] and [[http://patterns.di.unipi.it/bsd/dsd.17.solutions.txt|solutions]].+Analytic Functions with the use of moving windows. Examples. Exercises on Analytic SQL. [[http://patterns.di.unipi.it/dsd/dsd.17.assignments.pdf|Exercises during the lesson and at home]] and [[http://patterns.di.unipi.it/dsd/dsd.17.solutions.txt|solutions]].
  
-**2021-18.** //Friday 12 November 202116-18// **[DB: 6.1-6.6, 6.8, 7.1-7.2]** [[http://patterns.di.unipi.it/bsd/video/dsd18_20211112.mp4|rec18 audio-video (.mp4)]]+**2022-18.** //Wednesday 16 November 202211-13//  **[DB: 6.1-6.6, 6.8, 7.1-7.2]** [[http://patterns.di.unipi.it/dsd/video/dsd18_20211112.mp4|rec18 audio-video (.mp4) past years]]
  
 Recalls of relational DBMS internals: Storage, Indexing and Query Evaluation. Physical operators and physical plans for projection, selection, joins and grouping. Examples. Recalls of relational DBMS internals: Storage, Indexing and Query Evaluation. Physical operators and physical plans for projection, selection, joins and grouping. Examples.
  
-**2021-19.** //Tuesday 16 November 20219-11// **[DW: 6.1-6.4]** [[http://patterns.di.unipi.it/bsd/video/dsd19_20211116.mp4|rec19 audio-video (.mp4)]]+**2022-19.** //Thursday 17 November 202214-16// **[DW: 6.1-6.4]** [[http://patterns.di.unipi.it/dsd/video/dsd19_20211116.mp4|rec19 audio-video (.mp4) past years]]
  
 Data Warehouse Systems: Special-Purpose Indexes and Star Query Plan. Bitmap indexes. Join indexes. Star queries optimization and query plans. Examples. Table partitioning. Data Warehouse Systems: Special-Purpose Indexes and Star Query Plan. Bitmap indexes. Join indexes. Star queries optimization and query plans. Examples. Table partitioning.
  
-**2021-20.** //Friday 19 November 202116-18// **[DW: 7.1-7.7]**[[http://patterns.di.unipi.it/bsd/video/dsd20_20211119.mp4|rec20 audio-video (.mp4)]]+**2022-19 bis.** //Wednesday 23 November 202211-13// **[DW: 6.5-6.8]**  [[http://patterns.di.unipi.it/dsd/video/dsd24_20211203.mp4|rec24 audio-video (.mp4) past years]]
  
-The problem of materialized views selectionThe lattice of views and the greedy algorithm HRU for the selection of materialized viewsExamples. Other algorithms for the choice of the views to materialize with a workload and dimensional hierarchies.  [[http://patterns.di.unipi.it/bsd/dsd.20.assignments.pdf|Exercises at home for the lesson 2021-21]].+**For attending students:** Seminar (in Italian): //Sistema per l’analisi di dati statici di supporto alle decisioni// (VMinei and RMosca, [[https://www.sadasdb.com/en/|Sadas s.r.l.]]
  
-**2021-21.** //Tuesday 23 November 20219-11//  **[DW: 8.1-8.2, DB: 3.5.1-3.5.4]** [[http://patterns.di.unipi.it/bsd/video/dsd21_20211123.mp4|rec21 audio-video (.mp4)]]+**For non-attending students:** Data Warehousing trends: column-oriented DW, main-memory DW, Big Data framework. (see recorded lesson from past years). 
 + 
 + 
 +**2022-20.** //Thursday 24 November 202214-16// **[DW: 7.1-7.7]**[[http://patterns.di.unipi.it/dsd/video/dsd20_20211119.mp4|rec20 audio-video (.mp4) past years]] 
 + 
 +The problem of materialized views selection. The lattice of views and the greedy algorithm HRU for the selection of materialized views. Examples. Other algorithms for the choice of the views to materialize with a workload and dimensional hierarchies.  [[http://patterns.di.unipi.it/dsd/dsd.20.assignments.pdf|Exercises at home for the lesson 2022-21]]. 
 + 
 +**2022-21.** //Wednesday 30 November 2022, 11-13// **[DW: 8.1-8.2, DB: 3.5.1-3.5.4]** [[http://patterns.di.unipi.it/dsd/video/dsd21_20221130.mp4|rec21 audio-video (.mp4) current year]]
  
 Recalls of functional dependency properties and how they are used to reason about the properties of the result of a query. Properties of the group-by operator. Recalls of functional dependency properties and how they are used to reason about the properties of the result of a query. Properties of the group-by operator.
  
-**2021-22.** //Friday 26 November 202116-18// **[DW: 8.3-8.6]** +**2022-22.** //Thursday 1 December 202214-16// **[DW: 8.3-8.6]** [[http://patterns.di.unipi.it/dsd/video/dsd22_20221201.mp4|rec22 audio-video (.mp4) current year]]
  
 The problem of evaluating the group-by before the join operator. First case: Invariant grouping. Examples. Other cases: double grouping, grouping and counting. Examples with star queries. The problem of evaluating the group-by before the join operator. First case: Invariant grouping. Examples. Other cases: double grouping, grouping and counting. Examples with star queries.
  
-**2021-23.** //Tuesday 30 November 20219-11// **[DW: 9.1-9.4]** +**2021-23.** //Wednesday 7 December 2022, 11-13// **[DW: 9.1-9.4]** [[http://patterns.di.unipi.it/dsd/video/dsd23_20211130.mp4|rec23 audio-video (.mp4) past years]]
  
 The problem of query rewrite to use a materialized view. Hypothesis and two approaches: With a compensation on the logical view plan, and with a transformation of logical query plan. Examples. The problem of query rewrite to use a materialized view. Hypothesis and two approaches: With a compensation on the logical view plan, and with a transformation of logical query plan. Examples.
- 
-**2021-24.** //Friday 3 December 2021, 16-18// **[DW: 6.5-6.8]**  
- 
-Data Warehousing trends: column-oriented DW, main-memory DW, Big Data framework. 
  
  
 =====Previous years===== =====Previous years=====
  
 +  * [[mds:dsd:2021|Decision Support Databases  A.Y. 2021/22]]
   * [[mds:dsd:2020|Decision Support Databases  A.Y. 2020/21]]   * [[mds:dsd:2020|Decision Support Databases  A.Y. 2020/21]]
-  * [[mds:dsd:2019|Decision Support Databases  A.Y. 2019/20]] 
-  * [[mds:dsd:2018|Decision Support Databases  A.Y. 2018/19]] 
  
  
mds/dsd/start.txt · Ultima modifica: 27/03/2024 alle 13:18 (22 ore fa) da Salvatore Ruggieri