SQL Advanced Outline ▪ CASE ▪Subquery – nested, inline, correlated ▪ Views ▪Joins – self join, outer join ▪Set Operators ▪Oracle Functions 2 2 SQL CASE statement The CASE statement used in the select list enables the query to evaluate an attribute and output a particular value based on that evaluation SELECT unitcode, to_char(ofyear,’YYYY’) as […]
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MONASH INFORMATION TECHNOLOGY Week 1 Session 1 – Introduction FIT2094 – FIT3171 Databases Summer Semester B 2021 Unit Overview ▪ Unit purpose/background – An introduction to databases, mostly RELATIONAL databases (RDBMS) – Require programming background but NO expected background in databases ▪ Student time commitment – Monash University 6 credit point unit = 12 hours
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Monash University FIT2094 MOCK EXAM SAMPLE SOLUTIONS Author: FIT Database Teaching Team License: Copyright © Monash University, unless otherwise stated. All Rights Reserved. COPYRIGHT WARNING Warning This material is protected by copyright. For use within Monash University only. NOT FOR RESALE. Do not remove this notice. Page 1 of 20 PART A Relational Model [Total:
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Update, Delete and Transaction Management MODIFYING ROWS USING UPDATE AND DELETE 2 UPDATE ▪ Changes the value of existing data. ▪ For example, at the end of semester, change the mark and grade from null to the actual mark and grade. UPDATE enrolment SET mark = 80, grade =’HD’ WHERE sno = 112233 and ……
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MONASH INFORMATION TECHNOLOGY Where To? Exam Preparation FIT2094-FIT3171 Operational Database – the unit’s focus 2 Application Development ▪ Web based front ends – Wide range of approaches: PHP, ASP.NET, etc – Very Rudimentary (requires VPN) ▪ PL/SQL – backend development – Triggers, functions, procedures and packages – Procedure to change employee departments: move_employee (empno, new
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MONASH INFORMATION TECHNOLOGY Creating & Populating the Database – Data Definition Language Workshop Q&A User requirements Relational model theories Oracle syntax Draw Conceptual conceptual ERD ERD Draw logical level Model Logical level Model Write database schema Database schema Business rules ERD notations Normalisation 2 2 SQL general syntax ▪ A single statement is ended with
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MONASH INFORMATION TECHNOLOGY Creating & Populating the Database – Data Definition Language User requirements Relational model theories Oracle syntax Draw Conceptual conceptual ERD ERD Draw logical level Model Logical level Model Write database schema Database schema Business rules ERD notations Normalisation 2 2 SQL general syntax ▪ A single statement is ended with SEMICOLON. ▪
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DB Connectivity Web Technology Where Are We ▪ Through this unit we have looked at: ▪ The fundamental principles on which relational databases are built ▪ Designing a relational database and ▪ Implementing a relational database and manipulating its data via SQL ▪ In practice the database you create & populate will be used by
MONASH INFORMATION TECHNOLOGY Database Design II: Logical Modelling Reference Several of the examples and diagrams used this session have been taken from: Hoffer, J. A. , Prescott, M. B. & McFadden, F. R. “Modern Database Management” 2 2 Step 2 (and 3) of the Design Process ▪ Step 1 Conceptual Model (session 2) – Database
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SQL Intermediate Aggregate Functions • • 2 3 Q1. What will be displayed by the following SQL statement? SELECT count(*), count(mark) FROM enrolment; 8, 8 8, 3 3, 3 3, 8 4 Q2. What will be displayed by the following SQL statement? SELECT count(*), count(stu_nbr), count(distinct stu_nbr) FROM enrolment; 8, 8, 4 8, 8, 8
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