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mds:dsd:start

Decision Support Databases A.Y. 2021/22

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.

Instructor

Classes

Lessons will be also live-streamed on the Teams space.

Day of Week Hour Room
Tuesday 9:00 - 11:00 Fib M1
Friday 16:00 - 18:00 Fib C

Mandatory teaching material

Software

  • JRS for practicing with logical and physical SQL query plans. JRS requires Java SE 8 (need to register to download)
  • Azure Data Studio client for connecting to SQL Server DBMS.

Preliminary program and calendar

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.

Registration to exams is mandatory (look at the deadline for registering!): register here

Date Hour Room Notes
19/11/2021 9:00 - 11:00 Mixed: online & in-presence Extra-ordinary exam

Class calendar

Lessons will be also live-streamed on the Teams space.

Recordings and teaching material are password protected. Ask the teacher for credentials.

Some of the recordings are in format .mp4 (automatically opened by most browsers). Some other recordings are in format .flv, for which you need to fully download the file and watch it using, e.g., VLC media player.

2021-01. Tuesday 14 September 2021, 9-11 [DW: 1.1-1.2] rec01 audio-video (.mp4)

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 2021, 16-18 [DW: 1.3-1.7] 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.

2021-03. Tuesday 21 September 2021, 9-11 [DB: 1.1, 2.1-2.5] rec03 audio-video (.mp4)

Recalls: the Object Data Model. Exercises at home for the lesson 2021-05.

2021-04. Friday 24 September 2021, 16-18 [DW: 2.1] 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. Exercises at home for the lesson 2021-05.

2021-05. Tuesday 28 September 2021, 9-11 [DW: 2.1, A.1] rec05 audio-video (.mp4)

The example of a data model for Master program exams. Presentation and discussion of the Hospital case study. Exercises at home for the lesson 2021-07.

2021-06. Friday 1 October 2021, 16-18 [DB: 3.1-3.2] rec06 audio-video (.mp4)

Recalls: the relational model and relational algebra. Exercises. Exercises at home for the lesson 2021-08.

2021-07. Tuesday 5 October 2021, 9-11 [DW: 2.1, 2.2, A.1, B.1] rec07 audio-video (.mp4)

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. Exercises at home for the lesson 2021-09.

2021-08. Friday 8 October 2021, 16-18 [DB: 3.2-3.4] rec08 audio-video (.mp4)

Recalls: the relational model and relational algebra. Logical trees. Exercises with JRS. Exercises at home for the lesson 2021-09.

2021-09. Tuesday 12 October 2021, 9-11 [DW: A.2, B.2] rec09 audio-video (.mp4)

Discussion of students' solutions of conceptual and logical design case studies.

2021-10. Friday 15 October 2021, 16-18 [DW: 3.1-3.5] rec10 audio-video (.mp4)

Data Warehouse design approaches. Data mart logical design. Slowly changing dimensions, fast changing dimensions, shared dimensions. Recursive hierarchies. Multivalued dimensions. Exercises at home for the lesson 2021-11.

2021-11. Tuesday 19 October 2021, 9-11 [DW: 3.1-3.5, 4.1-4.8]

Wrap up on DW design. A DW to support Analytical CRM Analysis.

2021-12. Friday 22 October 2021, 16-18 [DW: 2.3, 2.4]

Multidimensional Cube model: OLAP Operations. The extended cube and the lattice of cuboids. Pivot tables in Excel. PowerPivot.
Additional learning material:

2021-13. Tuesday 26 October 2021, 9-11

Previous years

mds/dsd/start.txt · Ultima modifica: 15/10/2021 alle 18:48 (6 ore fa) da Salvatore Ruggieri