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mds:dsd:start [25/10/2024 alle 17:10 (5 mesi fa)] – Salvatore Ruggierimds:dsd:start [17/03/2025 alle 19:56 (14 giorni fa)] (versione attuale) – [Exams] Salvatore Ruggieri
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 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. 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.
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 =====Instructor===== =====Instructor=====
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     * [[http://pages.di.unipi.it/ruggieri/]]     * [[http://pages.di.unipi.it/ruggieri/]]
     * [[[email protected]]]       * [[[email protected]]]  
-    * **Office hours:** Tuesdays h 14:00 - 16:00 or by appointment, at the Department of Computer Science, room 321/DO, or via Teams.+    * **Office hours:** Tuesdays h 16:00 - 18:00 or by appointment, at the Department of Computer Science, room 321/DO, or via Teams.
  
  
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 ^  Date  ^  Hour  ^  Room  ^  Notes  ^ ^  Date  ^  Hour  ^  Room  ^  Notes  ^
-|  6/11/2024  |  9:00 - 11:00  |  Riunioni Ovest, Dept. Computer Science  | [[https://didattica.di.unipi.it/en/appelli-straordinari/|Extra-ordinary exam]] |+|  18/3/2025  |  9:00 - 11:00  |  FIB-E  | [[https://didattica.di.unipi.it/en/appelli-straordinari/|Extra-ordinary exam]] |
  
 =====Class calendar ===== =====Class calendar =====
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 |15| 22/10 9-11 | Fib-C | OLAP systems. Data Analysis Using SQL. Simple reports. Examples. Moderately Difficult Reports. Solutions in SQL. {{:mds:dsd:dsd15.foodmart.pdf|Foodmart datawarehouse schema}}. [[http://131.114.72.230/dsd/video/dsd15_20211102.mp4|rec15 (.mp4)]] | **[DW: 5.1-5.3]**  {{:mds:dsd:dsd15.pdf|slides15 (.pdf)}} | |15| 22/10 9-11 | Fib-C | OLAP systems. Data Analysis Using SQL. Simple reports. Examples. Moderately Difficult Reports. Solutions in SQL. {{:mds:dsd:dsd15.foodmart.pdf|Foodmart datawarehouse schema}}. [[http://131.114.72.230/dsd/video/dsd15_20211102.mp4|rec15 (.mp4)]] | **[DW: 5.1-5.3]**  {{:mds:dsd:dsd15.pdf|slides15 (.pdf)}} |
 |16| 25/10 11-13 | Fib-C1 | 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.  {{:mds:dsd:dsd16.assignments.pdf|Exercises at home for the lesson 17}}. [[http://131.114.72.230/dsd/video/dsd16_20211105.mp4|rec16 (.mp4)]] | **[DW: 5.4-5.5]**  {{:mds:dsd:dsd16.pdf|slides16 (.pdf)}} | |16| 25/10 11-13 | Fib-C1 | 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.  {{:mds:dsd:dsd16.assignments.pdf|Exercises at home for the lesson 17}}. [[http://131.114.72.230/dsd/video/dsd16_20211105.mp4|rec16 (.mp4)]] | **[DW: 5.4-5.5]**  {{:mds:dsd:dsd16.pdf|slides16 (.pdf)}} |
-|17| 31/10 11-13 | Fib-A1 | Analytic Functions with the use of moving windows. Examples. Exercises on Analytic SQL. {{:mds:dsd:dsd17.assignments.pdf|Exercises during the lesson and at home}} and [[http://131.114.72.230/dsd/dsd.17.solutions.txt|solutions]]. [[http://131.114.72.230/dsd/video/dsd17_20211109.mp4|rec17 (.mp4)]] | **[DW: 5.5-5.6]**  {{:mds:dsd:dsd17.pdf|slides17 (.pdf)}} | +| | 31/10 11-13 |   | **Lesson canceled due to a strike.**  |   | 
-|18| 05/11 9-11 | Fib-C | Recalls of relational DBMS internals: Storage, Indexing and Query Evaluation. Physical operators and physical plans for projection, selection, joins and grouping. Examples. [[http://131.114.72.230/dsd/video/dsd18_20211112.mp4|rec18 (.mp4)]] | **[DB: 6.1-6.6, 6.8, 7.1-7.2]**  {{:mds:dsd:dsd18.pdf|slides18 (.pdf)}} | +|17| 05/11 9-11 | Fib-C | Analytic Functions with the use of moving windows. Examples. Exercises on Analytic SQL. {{:mds:dsd:dsd17.assignments.pdf|Exercises during the lesson and at home}} and [[http://131.114.72.230/dsd/dsd.17.solutions.txt|solutions]]. [[http://131.114.72.230/dsd/video/dsd17_20211109.mp4|rec17 (.mp4)]] | **[DW: 5.5-5.6]**  {{:mds:dsd:dsd17.pdf|slides17 (.pdf)}} | 
-|19| 07/11 11-13 | Fib-A1 | Data Warehouse Systems: Special-Purpose Indexes and Star Query Plan. Bitmap indexes. Join indexes. Star queries optimization and query plans. Examples. Table partitioning. [[http://131.114.72.230/dsd/video/dsd19_20211116.mp4|rec19 (.mp4)]] | **[DW: 6.1-6.4]**  {{:mds:dsd:dsd19.pdf|slides19 (.pdf)}} | +|18| 08/11 11-13 | Fib-C1  | Recalls of relational DBMS internals: Storage, Indexing and Query Evaluation. Physical operators and physical plans for projection, selection, joins and grouping. Examples. [[http://131.114.72.230/dsd/video/dsd18_20211112.mp4|rec18 (.mp4)]] | **[DB: 6.1-6.6, 6.8, 7.1-7.2]**  {{:mds:dsd:dsd18.pdf|slides18 (.pdf)}} | 
-|20| 08/11 11-13 | Fib-C1 | 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.  {{:mds:dsd:dsd20.assignments.pdf|Exercises at home for the lesson 21}}. [[http://131.114.72.230/dsd/video/dsd20_20211119.mp4|rec20 (.mp4)]] | **[DW: 7.1-7.7]**  {{:mds:dsd:dsd20.pdf|slides20 (.pdf)}} | +|19| 12/11 9-11 | Fib-C | Data Warehouse Systems: Special-Purpose Indexes and Star Query Plan. Bitmap indexes. Join indexes. Star queries optimization and query plans. Examples. Table partitioning. [[http://131.114.72.230/dsd/video/dsd19_20211116.mp4|rec19 (.mp4)]] | **[DW: 6.1-6.4]**  {{:mds:dsd:dsd19.pdf|slides19 (.pdf)}} | 
-|21| 15/11 11-13 | Fib-C1 | 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.   [[http://131.114.72.230/dsd/video/dsd21_20221130.mp4|rec21 (.mp4)]] | **[DW: 8.1-8.2, DB: 3.5.1-3.5.4]**  {{:mds:dsd:dsd21.pdf|slides21 (.pdf)}} | +|20| 15/11 11-13 | Fib-C1 | 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.  {{:mds:dsd:dsd20.assignments.pdf|Exercises at home for the lesson 21}}. [[http://131.114.72.230/dsd/video/dsd20_20211119.mp4|rec20 (.mp4)]] | **[DW: 7.1-7.7]**  {{:mds:dsd:dsd20.pdf|slides20 (.pdf)}} | 
-|22| 22/11 11-13 | Fib-C1 | 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.  [[http://131.114.72.230/dsd/video/dsd22_20221201.mp4|rec22 (.mp4)]] | **[DW: 8.3-8.6]**  {{:mds:dsd:dsd22.pdf|slides22 (.pdf)}} | +|21| 22/11 11-13 | Fib-C1 | 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.   [[http://131.114.72.230/dsd/video/dsd21_20221130.mp4|rec21 (.mp4)]] | **[DW: 8.1-8.2, DB: 3.5.1-3.5.4]**  {{:mds:dsd:dsd21.pdf|slides21 (.pdf)}} | 
-|23| 29/11 11-13 | Fib-C1 | 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. [[http://131.114.72.230/dsd/video/dsd23_20211130.mp4|rec23 (.mp4)]] | **[DW: 9.1-9.4]**  {{:mds:dsd:dsd23.pdf|slides23 (.pdf)}} | +| | 29/11 11-13 |   | **Lesson canceled due to a strike.**  |   | 
-|24| 6/12 11-13 | Fib-C1 | Data Warehousing trends: column-oriented DW, main-memory DW, Big Data framework. [[http://131.114.72.230/dsd/video/dsd24_20211203.mp4|rec24 (.mp4)]] | **[DW: 6.5-6.8]**  {{:mds:dsd:dsd24.pdf|slides24 (.pdf)}} |+|22| 6/12 11-13 | Fib-C1 | 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.  [[http://131.114.72.230/dsd/video/dsd22_20221201.mp4|rec22 (.mp4)]] | **[DW: 8.3-8.6]**  {{:mds:dsd:dsd22.pdf|slides22 (.pdf)}} | 
 +|23| 10/12 9-11  | Fib-C  | 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. [[http://131.114.72.230/dsd/video/dsd23_20241210.mp4|rec23 (.mp4)]] | **[DW: 9.1-9.4]**  {{:mds:dsd:dsd23.pdf|slides23 (.pdf)}} | 
 +| | 13/11 11-13 |   | **No lesson on this date.**  |   | 
 +|24| 17/12 9-11  | Fib-C1 | Data Warehousing trends: column-oriented DW, main-memory DW, Big Data framework. [[http://131.114.72.230/dsd/video/dsd24_20211203.mp4|rec24 (.mp4)]] | **[DW: 6.5-6.8]**  {{:mds:dsd:dsd24.pdf|slides24 (.pdf)}} |
  
  
mds/dsd/start.1729876242.txt.gz · Ultima modifica: 25/10/2024 alle 17:10 (5 mesi fa) da Salvatore Ruggieri
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