MONASH INFORMATION TECHNOLOGY Structured Query Language (SQL) – Part 1 Anatomy of an SQL SELECT Statement SELECT stud_nbr, stu_fname, stu_lname FROM student WHERE stu_fname = ‘Maria’; clauses statement Predicate / search condition 2 2 What table(s) the data come from? SQL SELECT Statement – Usage What column/s to display SELECT stud_nbr, stu_fname, stu_lname FROM student […]
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FIT2094-FIT3171 Databases Session 12 Tutorial Activities DB Connectivity, Web Technology FIT Database Teaching Team Complete session 12 activities in week 6 listed below 12.1 DB Connectivity using PHP 12.2 Frameworks and Security Consideration 12.3 Web Modification Exercise 12.4 SETU and Assignment 2 FIT2094-FIT3171 2021 Summer B FIT2094-FIT3171 Databases Author: FIT Database Teaching Team License: Copyright
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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. …… 3 • 4 TRANSACTIONS 5 Transactions ▪ Consider the following situation. Sam is
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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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Prolog Aditya Thakur ECS 140A Programming Languages – Winter 2019 Outline • Defining facts, and rules • Solving goals • Lists in Prolog • Unification • Arithmetic, logical operators, and comparison operators •Control in Prolog (goal and rule ordering) • Search and backtracking – Deriving search trees (examples: mylength1, mylength2, prefix/suffix, etc.) • Cuts (green
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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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## Ignore Visual Studio temporary files, build results, and ## files generated by popular Visual Studio add-ons. # User-specific files *.suo *.user *.userosscache *.sln.docstates # User-specific files (MonoDevelop/Xamarin Studio) *.userprefs # Build results [Dd]ebug/ [Dd]ebugPublic/ [Rr]elease/ [Rr]eleases/ x64/ x86/ build/ bld/ [Bb]in/ [Oo]bj/ # Visual Studio 2015 cache/options directory .vs/ # Uncomment if you have
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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