• Parallelizing Programs • Goal: speed up programs using multiple processors/cores 2 When is speedup important? • Applications can finish sooner – Search engines – High-res graphics – Weather prediction – Nuclear reactions – Bioinformatics Types of parallel machines • General purpose – GPU – Shared-memory multiprocessor (“multicore”) – Distributed-memory multicomputer • SIMD: single instruction, […]
EXAM Part 1: Assignment School of Computing and Information Systems INFO90002 Database Systems and Information Modelling END OF SEMESTER EXAM Part 1: Modelling, SQL, Relational Algebra & Normalisation Semester 2 2020 Exam Release Time: 9.00 am Tuesday November 24th 220 AEDT Submission Due Date: 9.00am Thursday November 26th 2020 AEDT SUBMISSION via the LMS https://lms.unimelb.edu.au
MSc ANALYTICS DATA ENGINEERING PLATFORMS (MSCA 31012) ASSIGNMENT 3 Part A (team): Data modelling and design considerations ( final project ) 1. Add slides to the Assignment 2 presentation which addresses the following. • Design considerations ( include any data preparation steps / platform considerations ). • Enhanced Entity Relationship (EER) model or Dimensional model
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MONASH INFORMATION TECHNOLOGY Database Design 1: Conceptual Modelling ANSI/SPARC architecture – proposed 1975 View 1 View 2 External level (Users View) Conceptual level (All Data and Relationships) Internal level (Physical representation – hash, btree, isam …) Physical Storage View n Conceptual Schema Internal Schema 2 The Database Design Life Cycle Requirements Definition Conceptual Design Logical
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MONASH INFORMATION TECHNOLOGY Database Design 1: Conceptual Modelling FIT9132 ANSI/SPARC architecture – proposed 1975 View 1 View 2 External level (Users View) Conceptual level (All Data and Relationships) Internal level (Physical representation – hash, btree, isam …) Physical Storage View n Conceptual Schema Internal Schema 2 The Database Design Life Cycle Requirements Definition Conceptual Design
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MONASH INFORMATION TECHNOLOGY Database Design II: Logical Modelling Reference Several of the examples and diagrams used this week 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 (week 2) – Database
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DATABASE SYSTEMS Design, Implementation, and Management 12e Carlos Coronel | Steven Morris Australia • Brazil • Mexico • Singapore • United Kingdom • United States Copyright 2017 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed
MONASH INFORMATION TECHNOLOGY Database Design II: Logical Modelling Lindsay Smith Revisit – Week 3 Conceptual Model Keys only 2 Revisit – Week 3 Conceptual Model All attributes 3 Summary of Terminologies at Different Levels Conceptual Logical Physical Entity Relation Table Attribute Attribute Column Instance Tuple Row Identifier Primary Key Primary Key Relationship — — —
程序代写代做代考 ER database case study MONASH Read More »
MONASH INFORMATION TECHNOLOGY Database Design 1: Conceptual Modelling Lindsay Smith ANSI/SPARC architecture External level Conceptual level Internal level View 1 View 2 Conceptual Schema View n Internal Schema 2 The Database Design Life Cycle Requirements Definition Conceptual Design Logical Design Physical Design 3 Requirements Definition ▪ Identify and analyse user views. ▪ A ‘user view’
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• Parallelizing Programs • Goal: speed up programs using multiple processors/cores 2 When is speedup important? • Applications can finish sooner – Search engines – High-res graphics – Weather prediction – Nuclear reactions – Bioinformatics Types of parallel machines • General purpose – GPU – Shared-memory multiprocessor (“multicore”) – Distributed-memory multicomputer • SIMD: single instruction,