Key Takeaways
Upon completion of the course, participants will be able to:
- Establish an enterprise-wide digital data strategy and information architecture
- Conceptualise transaction systems, data warehouse and data lake architecture to support systems of record, systems of engagement, and systems of insight aligned to business objectives.
- Perform data inventory and data modeling which includes conceptual, logical and physical design.
- Evaluate suitable database technology and tools where appropriate based on business and technical requirements.
- Protect data asset by performing threat modeling and implement security controls to comply to enterprise data governance policy, standards and regulation.
Who Should Attend
This is an intermediate course, suitable for professionals with relevant experience, and with an interest or requirement to understand engineering for big data.
The target course participants are primarily software engineers, data engineers, team leads, and architects with seek to enhance their skills in the area of information architecture and design of data warehouse and data lake.
Prerequisites
- Participants should have 2-3 years of software design and/or development or data design and/or administrative experience and/or equivalent knowledge.
- Participants are required to take a pre-course assessment and must clear the assessment.
NUS-ISS also offers a range of other courses in engineering big data for participants to consider.
What to Bring
No printed copies of course materials are issued.
Participants must bring their internet-enabled computing device (laptops, tablet etc) with power charger to access and download course materials.
If you are bringing a laptop, please see below for the tech specs:
|
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Minimum
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Recommended
|
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Computer and processor
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2 Cores or more. i7 (intel) or higher preferred.
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4 Cores or more. i7 (intel) or higher preferred.
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Memory
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16 GB RAM (Minimum 4 GB Free memory while running the cluster)
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32 GB RAM(Minimum 4 GB Free memory while running the cluster)
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Hard Disk
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1 TB (Minimum 20 GB free for use)
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2 TB or more
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Display
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Minimum of 1280 x 768 screen resolution (32-bit requires hardware acceleration for 4K and higher)
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| Cluster Management Software |
Run local Kubernetes clusters (example minikube or kind) on Windows, Linux, or Mac environments. |
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Container or virtual machine manager
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Kubernetes preferred. Other alternatives:
Docker, Hyperkit, Hyper-V, KVM, Parallels, Podman, VirtualBox, or VMware Fusion/Workstation
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DirectX 10 graphics card for graphics hardware acceleration
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Others
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An internet connection – broadband wired or wireless
Speakers and a microphone – built-in or USB plug-in or wireless Bluetooth
A webcam or HD webcam - built-in or USB plug-in
|
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What Will Be Covered
This course will cover:
- Overview of Information Architecture
- Information Architecture for Transactional System
- Information Architecture for Data Warehouse
- Information Architecture for Data Lake
- Modeling non-relational structured data – Document and Graph Databases
- Data Management, Protection and Security
Fees & Subsidies
Fees for 2024
| |
Full Fee |
Singaporeans & PRs
(self-sponsored) |
| Full course fee |
S$3600 |
S$3600 |
| ISS Subsidy |
- |
(S$360) |
| Nett course fee |
S$3600 |
S$3240 |
| 9% GST on nett course fee |
S$324 |
S$291.60 |
| Total nett course fee payable, including GST |
S$3924 |
S$3531.60 |
Note:
- All fees and subsidies are valid from January 2024, unless otherwise advised.
- All self-sponsored Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees. For more information about SkillsFuture Credit, click here.
- From 1st January 2024, the GST will be increased to 9%.
Certificate
Certificate of Completion
Participants have to meet a minimum attendance rate of 75% and are required to pass the assessment to be issued a Certificate of Completion.
Preparing for Your Course
NUS-ISS Course Registration Terms and Conditions
Find out more.
NUS-ISS and Learner’s Commitment and Responsibilities
Find out more.
WIFI Access
WIFI access will be made available to participants.
Venue
NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615
Click HERE for directions to NUS-ISS
In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.
Course Confirmation
All classes are subject to confirmation and NUS-ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by NUS-ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.
General Enquiry
Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.