SWEN432 (2019) - Advanced Database Design and Implementation
This course explores a selection of the following topics: XML Databases, Cloud Databases, Data Warehouse and Object-Relational Databases. It examines features of these advanced database systems and analyses the new applications they facilitate.
Course learning objectives
Students who pass this course should be able to:
- Demonstrate a comprehensive understanding of cloud database structures and mechanisms they use to achieve high availability, scalability, network partition tolerance, and eventual consistency (BE graduate attributes 2(b) and 3(b)).
- Set up cloud database clusters on the local host, design, implement, and query cloud NoSQL databases using Cassandra and MongoDB cloud database management systems (BE graduate attributes 3(a), 3(c) and 3(f)).
- Design, implement, and query a relational Data Warehouse (BE graduate attributes 3(a), 3(c) and 3(f)).
SWEN 432 is an advanced course in database and information systems. Databases and information systems facilitate handling of large amounts of information. The information we want to process is now more complicated and diverse than it used to be. We require more intelligent, application-specific, and sophisticated systems to do processing.
This year the course will examine the following two contemporary fields in the database systems area:
- Cloud NoSQL Databases, and
- Data Warehousing.
The Data Warehouse field will comprise approximately 30% of the course and will consider questions like: what is a Data Warehouse and what is it used for, how is data organized in a Data Warehouse, what operations and queries are executed against a Data Warehouse, SQL:1999 standard and Data Warehouse, query accelerating techniques, what are the contemporary Data Warehouse architectures, and the issues of implementing a data Warehouse as a Cloud Database. An assignment will use PostgreSQL to demonstrate issues in designing, building and querying Data Warehouses.
Required Academic Background
Before you enroll in SWEN 432 you are expected to have passed SWEN 304 OR COMP 302. Particularly, you will need to be familiar with the following topics:
* Relational Data Model,
* Transactional ACID (Atomicity, Consistency, Isolation, Durability) database properties,
* Structured Query Language (SQL),
* Relational Functional Dependencies and Normal Forms,
* PostgreSQL Database Management System.
You must also have a good understanding of English and be able to write clearly.
Withdrawal from Course
Withdrawal dates and process:
There will be three lectures per week during the trimester.
Student feedback on University courses may be found at: www.cad.vuw.ac.nz/feedback/feedback_display.php
Dates (trimester, teaching & break dates)
- Teaching: 04 March 2019 - 09 June 2019
- Break: 15 April 2019 - 28 April 2019
- Study period: 10 June 2019 - 13 June 2019
- Exam period: 14 June 2019 - 29 June 2019
Set Texts and Recommended Readings
There is no text book recomended for the course.
A reading list of material that may be of use is accessible from the course home page.
Mandatory Course Requirements
In addition to achieving an overall pass mark of at least 50%, students must:
- achieve at least 40% overall for all assignments.
If you believe that exceptional circumstances may prevent you from meeting the mandatory course requirements, contact the Course Coordinator for advice as soon as possible.
This course will be assessed through the following:
There will be five assignments. A tentative assignment schedule is given on the lecture schedule page . In principle, each assignment will be issued on Monday and due on Friday next week.
The assignment "one" asks you to design, and build a small distributed NoSQL database and to exercise querying and updating it using Cassandra.
The assignment "two" asks you to perform the set-up of a Cassandra cluster, and experiment with a number of performance and consistency issues.
The assignment "three" asks you to design and build a small unsharded database collection and to exercise querying and updating it using MongoDB.
The assignment "four" asks you to perform the set-up of a MongoDB cluster, and experiment with a number of performance and consistency issues.
Finally, the assignment "five" asks you to design, and build a small Data Warehouse and to exercise OLAP specific queries using PostgreSQL.
|Assessment Item||Due Date or Test Date||CLO(s)||Percentage|
|Assignment 1||CLO: 1,2||8%|
|Assignment 2||CLO: 1,2||10%|
|Assignment 3||CLO: 1,3||7%|
|Assignment 4||CLO: 1,3||10%|
|Assignment 5||CLO: 4||5%|
|Final Exam||CLO: 1,2,3||60%|
Any assignment submitted after the due date will be penalized at the rate of 5% per day (a weekend counts as one day).
Individual extensions will only be granted in exceptional personal circumstances, and should be negotiated with the course coordinator before the deadline whenever possible. Documentation (eg, medical certificate) may be required.
Submission & Return
Assignments will be handed out in lectures. You will find all necessary information about assignments and files needed at Assignments course page. Assignments should be submitted both electronically and as a hard copy. In principle, all assignments will be assessed and returned within 2 weeks after the submission dues date.
Each assignment contains a number of questions worth 100 marks in total. Your answers to questions will be assessed according to their accuracy. In your answers to assignment questions, you are expected to communicate your solutions in a clear way and, if needed, to present a proper design documentation.
The total workload for SWEN 432 is 150 hours. In order to maintain satisfactory progress in SWEN 432 you should plan to spend an average of 10 hours per week on this course.
Communication of Additional Information
The main means of communication outside of lecture will be email and the SWEN 432 web area at https://ecs.victoria.ac.nz/Courses/SWEN432_2019T1/. There you will find, among other things, this document, the lecture schedule, assignment handouts, and SWEN 432 Forum.
Links to General Course Information
- Academic Integrity and Plagiarism: https://www.victoria.ac.nz/students/study/exams/integrity-plagiarism
- Academic Progress: https://www.victoria.ac.nz/students/study/progress/academic-progess (including restrictions and non-engagement)
- Dates and deadlines: https://www.victoria.ac.nz/students/study/dates
- Grades: https://www.victoria.ac.nz/students/study/progress/grades
- Special passes: Refer to the Assessment Handbook, at https://www.victoria.ac.nz/documents/policy/staff-policy/assessment-handbook.pdf
- Statutes and policies, e.g. Student Conduct Statute: https://www.victoria.ac.nz/about/governance/strategy
- Student support: https://www.victoria.ac.nz/students/support
- Students with disabilities: https://www.victoria.ac.nz/st_services/disability/
- Student Charter: https://www.victoria.ac.nz/learning-teaching/learning-partnerships/student-charter
- Terms and Conditions: https://www.victoria.ac.nz/study/apply-enrol/terms-conditions/student-contract
- Turnitin: http://www.cad.vuw.ac.nz/wiki/index.php/Turnitin
- University structure: https://www.victoria.ac.nz/about/governance/structure
- VUWSA: http://www.vuwsa.org.nz
Offering CRN: 18670
Prerequisites: SWEN 304, 15 further 300-level COMP, NWEN or SWEN pts;
Restrictions: COMP 442
Duration: 04 March 2019 - 30 June 2019
Starts: Trimester 1