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mds:dsd:start [24/10/2020 alle 10:31 (3 anni fa)] Salvatore Ruggieri [Class calendar] |
mds:dsd:start [27/03/2024 alle 13:18 (2 giorni fa)] (versione attuale) Salvatore Ruggieri [Exams] |
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- | ====== Decision Support Databases A.Y. 2020/21 ====== | + | ====== |
- | The course presents | + | This is the first module |
+ | 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, | ||
+ | |||
+ | < | ||
=====Instructor===== | =====Instructor===== | ||
- | * **Salvatore Ruggieri** | + | * **Salvatore Ruggieri** |
* Università di Pisa | * Università di Pisa | ||
* [[http:// | * [[http:// | ||
- | * [[ruggieri@di.unipi.it]] | + | * [[salvatore.ruggieri@unipi.it]] |
- | * **Office hours:** Tuesdays h 14:00 - 17:00 or by appointment, | + | * **Office hours:** Tuesdays h 14:00 - 16:00 or by appointment, |
- | * **Office hours only via Skype or Teams by appointment. Skype contact: salvatore.ruggieri** | + | |
- | + | ||
- | + | ||
- | =====Classes===== | + | |
- | Lessons will be virtual using Teams ([[https:// | ||
+ | =====Hours and rooms===== | ||
- | ^ Day of Week ^ Hour ^ Room | + | ^ Day of Week ^ Hour ^ Room ^ |
- | | Wednesday| | + | | Wednesday |
- | | | + | | |
+ | A [[https:// | ||
=====Mandatory teaching material ===== | =====Mandatory teaching material ===== | ||
- | * **[DW]** A. Albano, S. Ruggieri. [[http://apa.di.unipi.it/bsd/ | + | * **[DW]** A. Albano, S. Ruggieri. [[http://fondamentidibasididati.it/wp-content/ |
- | * **[DB]** A. Albano. [[http:// | + | * **[DB]** A. Albano. [[http:// |
- | < | + | * Examples of {{ : |
- | * Examples of [[http://apa.di.unipi.it/bsd/DSDsamples.pdf|written | + | |
- | --></ | + | |
=====Software===== | =====Software===== | ||
- | * [[http:// | + | * [[http:// |
- | * [[https:// | + | * [[https:// |
+ | * [[https:// | ||
=====Preliminary program and calendar===== | =====Preliminary program and calendar===== | ||
- | * [[https:// | + | * [[https:// |
- | * [[https:// | + | * [[https:// |
=====Exams===== | =====Exams===== | ||
- | __//There are no mid-terms// | + | __//There are no mid-terms// |
- | Registration to exams is mandatory (**look at the deadline for registering!**): | + | Registration to the written exam is mandatory (**pay attention |
+ | |||
+ | **Please indicate in the notes "Only Lab" for doing only the discussion of the lab project; "Only DSD" for doing only the written+oral part of the DSD module; or " | ||
^ Date ^ Hour ^ Room ^ Notes ^ | ^ Date ^ Hour ^ Room ^ Notes ^ | ||
- | | | + | | |
- | =====Class calendar===== | + | | 25/6/2024 | 9:00 - 11:00 | TBD | | |
+ | | 23/7/2024 | 9:00 - 11:00 | TBD | | | ||
+ | | 13/9/ | ||
- | Lessons will be virtual using Teams ([[https://teams.microsoft.com/l/team/19%3a1a1505b91693459c88e80fc50945fc36%40thread.tacv2/ | + | < |
- | Lessons will be mostly based on exercises and Q&A. Students __must listen and study__ the required lessons of 2019 in advance.\\ | + | < |
+ | </ | ||
+ | =====Class calendar ===== | ||
- | **2020-01.** //Wednesday 16 September 2020, 11-13// [[http:// | + | Lessons will be **NOT** be live-streamed, but recordings of past years are available here for non-attending students.\\ |
- | Course overview | + | Some of recordings |
- | //@Home:// listen and study lessons | + | |
+ | To watch the recordings online, you must be connected to the [[https:// | ||
- | **2020-02.** // | + | **2023-01.** // |
- | Q&A, discussion, exercises on lessons **2019-01** and **2019-02**.\\ | + | Course overview. Need for Strategic Information. Information Systems in Organizations: Operational |
- | //@Home:// listen | + | |
- | **2020-03.** //Friday 25 September | + | **2023-02.** //Thursday 21 September |
- | Q&A, discussion, exercises on lesson **2019-03**. {{ : | + | 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. |
- | //@Home:// listen and study lessons **2019-04** and **2019-05**. | + | |
- | **2020-04.** // | + | **2023-03.** // |
- | Q&A, discussion, exercises on lessons **2019-04** and **2019-05**. {{ :mds: | + | Recalls: the Object Data Model. [[http://131.114.72.230/dsd/dsd.03.assignments.pdf|Exercises at home (Assignments I and II) for the lesson 2023-05]]. |
- | //@Home:// no assignment. | + | |
- | **2020-05.** //Friday 2 October 2020, 14-16// [[http://apa.di.unipi.it/bsd/video/2020-05.mp4|Recording]] | + | **2023-04.** //Thursday 28 September 2023, 14-16// |
- | Q&A, discussion, exercises on lesson **2019-04** | + | DW modeling. |
- | //@Home:// listen and study lessons **2019-06** and **2019-08**. | + | [[http://131.114.72.230/dsd/dsd.04.assignments.pdf|Exercises at home (University exams) for the lesson 2023-05]]. |
- | **2020-06.** //Wednesday 7 October 2020, 11-13// [[http:// | ||
- | Q&A, discussion, exercises on lessons | + | **2023-05.** //Wednesday 4 October 2023, 11-13// **[DW: 2.1, A.1]** |
- | //@Home:// no assignment. | + | |
- | **2020-07.** //Friday 9 October 2020, 14-16// | + | The example of a data model for Master program exams. Presentation and discussion of the Hospital case study. |
- | Q&A, discussion, exercises on lessons | + | **2023-06.** //Thursday 5 October 2023, 14-16// |
- | //@Home:// listen and study lessons **2019-07** and **2019-10**. | + | |
- | **2020-08.** //Wednesday 14 October 2020, 11-13// | + | Recalls: the relational model and relational algebra. Exercises. |
+ | [[http://131.114.72.230/dsd/dsd.06.assignments.pdf|Exercises at home (Assignment IV) for the lesson 2023-08]]. | ||
- | Q&A, discussion, exercises on lessons | + | **2023-07.** //Wednesday 11 October 2023, 11-13//**[DW: 2.1, 2.2, A.1, B.1]** [[http://131.114.72.230/dsd/video/ |
- | //@Home:// no assignment. | + | |
- | **2020-09.** //Friday 16 October 2020, 14-16// | + | 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. |
- | Q&A, discussion, exercises on lessons | + | **2023-08.** //Thursday 12 October 2023, 14-16// |
- | //@Home:// listen and study lesson **2019-11**. | + | |
- | **2020-10.** //Wednesday 21October 2020, 11-13// [[http://apa.di.unipi.it/bsd/video/ | + | Recalls: the relational model and relational algebra. Logical trees. [[http://131.114.72.230/dsd/dsd.08.exercises.pdf|Exercises with JRS]]. |
- | Q&A, discussion, exercises on lesson **2019-11**. {{ : | ||
- | //@Home:// listen and study lesson **2019-09**. | ||
- | **2020-11.** //Friday 23 October | + | **2023-09.** //Wednesday 18 October |
- | Q&A, discussion, exercises on lesson **2019-09**. {{ : | + | Discussion of students' |
- | //@Home:// listen and study lessons **2019-12** | + | |
- | **2020-12.** //Wednesday 28 October | + | **2023-10.** //Thursday 19 October |
- | Q&A, discussion, exercises on lessons lesson **2019-09**, | + | Data Warehouse design approaches. Data mart logical design. |
- | //@Home:// no assignment. | + | |
- | **2020-13.** //Friday 30 October | + | **2023-11.** //**Tuesday 24 |
- | Q&A, discussion, exercises on lessons **2019-12** and **2019-13**.\\ | + | Slowly changing dimensions, fast changing dimensions, shared dimensions. Recursive hierarchies. Multivalued dimensions. [[http://131.114.72.230/dsd/dsd.11.assignments.pdf|Exercises at home (Travel agency extended) for the lesson 2023-12]]. |
- | //@Home:// ... | + | |
+ | **2023-12.** //Thursday 2 November 2023, 14-16// | ||
- | =====Class calendar of A.A. 2019/20===== | + | A DW to support Analytical CRM Analysis. Wrap up on DW design. |
- | Recordings are password protected. Ask the teacher for credentials. | ||
+ | **2023-13.** //**Tuesday 7 November 2023, 14-16, Room L1**// | ||
- | **2019-01.** //Wednesday 18 September 2019, 14-16// **[DW: 1.1-1.2]** [[http://apa.di.unipi.it/bsd/video/ | + | Multidimensional Cube model: OLAP Operations. The extended cube and the lattice of cuboids. Pivot tables in Excel.\\ |
+ | **Additional learning material:** G. Harvey. Excel 2013 All-in-One For Dummies, 2013. [[http://131.114.72.230/dsd/PivotTable2013BookVIIchpt2.pdf|Chp. VII-2]] and [[http://131.114.72.230/dsd/HerbalTeas.xlsx|example data for pivot table]]. | ||
- | 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. | + | **2023-14.** //Wednesday 8 November 2023, 11-13// |
- | | + | |
- | **2019-02.** //Friday 20 September 2019, 16-18// **[DW: 1.3-1.7]** [[http://apa.di.unipi.it/bsd/video/ | + | Recalls on: DBMS, from SQL to extended relational algebra. Exercises. |
+ | [[http://131.114.72.230/dsd/dsd.14.assignments.pdf|Exercises at home for the lesson 2023-15]]. | ||
- | 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. | + | **2023-15.** //Wednesday 15 November 2023, 11-36// |
- | **2019-03.** //Wednesday 25 September 2019, 14-16// **[DB: 1.1, 2.1-2.5]** [[http://apa.di.unipi.it/bsd/video/ | + | OLAP systems. Data Analysis Using SQL. Simple reports. Examples. Moderately Difficult Reports. Solutions in SQL. |
+ | [[http://131.114.72.230/dsd/dsd.15.foodmart.pdf|Foodmart datawarehouse schema]]. | ||
- | Recalls: the Object Data Model. | + | **2023-16.** //Thursday 16 November 2023, 14-16// |
- | **2019-04.** //Friday 27 September 2019, 16-18// **[DW: 2.1]** [[http://apa.di.unipi.it/bsd/video/ | + | 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. |
- | 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.\\ | + | **2023-17.** //**Tuesday 21 November 2023, 14-16, Room L1**// **[DW: 5.5-5.6]** [[http://131.114.72.230/dsd/video/ |
- | **Slides:** [[http://apa.di.unipi.it/bsd/UniversityCaseStudy.pdf|university requirements]]. | + | |
- | **2019-05.** //Wednesday 2 October 2019, 14-16// **[DW: 2.1, A.1]** [[http://apa.di.unipi.it/bsd/video/ | + | Analytic Functions with the use of moving windows. Examples. Exercises on Analytic SQL. [[http://131.114.72.230/dsd/dsd.17.assignments.pdf|Exercises during the lesson and at home]] and [[http://131.114.72.230/dsd/dsd.17.solutions.txt|solutions]]. |
- | The example of a data model for Master program exams. Presentation and discussion of the Hospital case study. | + | **2023-18.** //Wednesday 22 November 2023, 11-13// |
- | **2019-06.** //Friday 4 October 2019, 16-18// **[DB: 3.1-3.2]** [[http:// | + | Recalls of relational DBMS internals: Storage, Indexing and Query Evaluation. Physical operators and physical plans for projection, selection, joins and grouping. Examples. |
- | Recalls: the relational model and relational algebra. Exercises. | + | **2023-19.** //Wednesday 29 November 2023, 11-13// **[DW: 6.1-6.4]** [[http:// |
- | **2019-07.** //Wednesday 9 October 2019, 14-16// **[DW: 2.1, | + | Data Warehouse Systems: Special-Purpose Indexes and Star Query Plan. Bitmap indexes. Join indexes. Star queries optimization and query plans. Examples. Table partitioning. |
- | 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. | + | **2023-19 bis.** //Thursday 30 November 2023, 14-16, **Room Seminari Est at the Computer Science Dept.**// **[DW: 6.5-6.8]** |
+ | **For attending students:** Seminar (in Italian): //Sistema per l’analisi di dati statici di supporto alle decisioni// (V. Minei and R. Mosca, [[https:// | ||
- | **2019-08.** //Wednesday 16 October 2019, 14-16// **[DB: 3.2-3.3]** [[http:// | + | **For non-attending students:** Data Warehousing trends: column-oriented DW, main-memory DW, Big Data framework. (see recorded lesson from past years). |
- | Recalls: the relational model and relational algebra. Logical trees. Exercises. | ||
- | **2019-09.** //Friday 18 October 2019, 16-18// **[DW: | + | **2023-20.** //Wednesday 6 December 2023, 11-13// **[DW: |
- | Multidimensional Cube model: OLAP Operations. The extended cube and the lattice | + | The problem of materialized views selection. The lattice of views and the greedy algorithm HRU for the selection |
- | **Additional learning material: | + | |
- | * G. Harvey. Excel 2013 All-in-One For Dummies, 2013. [[http://apa.di.unipi.it/bsd/PivotTable2013BookVIIchpt2.pdf|Chp. VII-2]] and [[http:// | + | |
- | * [[https:// | + | |
- | + | **2023-21.** //Thursday 7 December 2023, 14-16// **[DW: | |
- | **2019-10.** //Wednesday 23 October 2019, 14-16// **[DW: | + | |
- | + | ||
- | Discussion of students' | + | |
- | + | ||
- | **2019-11.** //Wednesday 30 October 2019, 14-16// | + | |
- | + | ||
- | Data mart logical design. Slowly changing dimensions, fast changing dimensions, shared dimensions. Recursive hierarchies. Multivalued dimensions. Multivalued Dimensional Attributes. | + | |
- | + | ||
- | **2019-12.** //Monday 4 November 2019, 16-18, **(Recover lesson - Room M1)**// **[DB: 3.4], [DW: 4.1-4.8]** [[http:// | + | |
- | + | ||
- | Recalls on: ODM-to-Relational Mapping. A DW to support Analytical CRM Analysis. | + | |
- | + | ||
- | **2019-13.** //Wednesday 6 November 2019, 14-16// **[DB: 4.1-4.2,5.1-5.11]** [[http:// | + | |
- | + | ||
- | Recalls on: DBMS, from SQL to extended relational algebra. Exercises.\\ | + | |
- | **Software: | + | |
- | + | ||
- | **2019-14.** //Friday 8 November 2019, 16-18// **[DW: 5.1-5.4]** [[http://apa.di.unipi.it/bsd/video/rec14_20181122.flv|Recording (past years)]] | + | |
- | + | ||
- | OLAP systems. Data Analysis Using SQL. Simple reports. Examples. Moderately Difficult Reports. Examples of variance reports. Solutions in SQL. | + | |
- | + | ||
- | **2019-15.** //Monday 11 November 2019, 16-18, **(Recover lesson - Room C1)**// **[DB: 6.1-6.6, 6.8, 7.1-7.2]** [[http:// | + | |
- | + | ||
- | Recalls of relational DBMS internals: Storage, Indexing and Query Evaluation. Physical operators and physical plans for projection, selection, joins and grouping. Examples.\\ | + | |
- | **Software: | + | |
- | + | ||
- | **2019-16.** //Wednesday 13 November 2019, 14-16// **[DW: 5.5-5.6]** [[http:// | + | |
- | + | ||
- | Very Difficult Reports without Analytic SQL. Example of reports with ranks. Analytic Functions with the use of partitions and running totals. Examples. Analytic Functions with the use of moving windows. Examples.\\ | + | |
- | **Software: | + | |
- | |Azure Data Studio]]. | + | |
- | + | ||
- | + | ||
- | **2019-17.** //Wednesday 20 November 2019, 14-16// **[DW: 6.1-6.4]** [[http:// | + | |
- | + | ||
- | Data Warehouse Systems: Special-Purpose Indexes and Star Query Plan. Bitmap indexes. Join indexes. Star queries optimization and query plans. Examples. Table partitioning. | + | |
- | + | ||
- | **2019-18.** //Friday 22 November 2019, 16-18// **[DW: 7.1-7.7]** [[http:// | + | |
- | + | ||
- | 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. | + | |
- | + | ||
- | **2019-19.** //Monday 25 November 2019, 16-18 **(Recover lesson - Room C1**)// **[DW: 8.1-8.2, DB: 3.5.1-3.5.4]** [[http:// | + | |
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. | ||
- | **2019-20.** //Friday 29 November 2019, 16-18// **[DW: 8.3-8.6]** [[http://apa.di.unipi.it/bsd/video/rec20_20191129.flv|Recording | + | **2023-22.** //**Monday 11 December 2023, 14-16, Room M1**// **[DW: 8.3-8.6]** [[http://131.114.72.230/dsd/video/dsd22_20221201.mp4|rec22 audio-video |
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. | ||
- | **2019-21.** // | + | **2023-23.** // |
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. | ||
- | **2019-22.** //Friday 6 December 2019, 16-18// **[DW: 6.5-6.8]** [[http:// | ||
- | |||
- | Data Warehousing trends: column-oriented DW, main-memory DW, Big Data framework. | ||
- | |||
- | **2019-23.** //Wednesday 11 December 2019, 14-16// | ||
- | |||
- | Examples of written exams with solutions. Q. & A.\\ | ||
- | **Slides:** [[http:// | ||
- | |||
- | **2019-24.** //Friday 13 December 2019, 16-18// | ||
- | |||
- | Examples of written exams with solutions. Q. & A. | ||
=====Previous years===== | =====Previous years===== | ||
- | * [[mds:dsd:2019|Decision Support Databases | + | * [[mds:dsd:2022|Decision Support Databases |
- | * [[mds:dsd:2018|Decision Support Databases | + | * [[mds:dsd:2021|Decision Support Databases |
+ | * [[mds: | ||