Data Organization, Storage and
Retrieval for the Internet of Things

Dates: 1 Feb, 2 Feb 2024 | 9am-5.30pm | Classroom Learning

Duration: 2 Days

Course Overview

In this course, learners acquire the knowledge and skills to design backend solutions to efficiently store and retrieve Internet of Things (IoT) data, essential for audits and for training machine learning algorithms. Topics covered include the basics of relational and document databases, and how to design schemas to efficiently store data in these databases. As blockchains show great potential as distributed and immutable ledgers for recording data, this course will also cover the principles of designing and building blockchains.

This course is part of Professional Certificate in Cloud Technologies for IoT.

Course Objectives

In this course, learners acquire the skills and knowledge to build efficient and robust backend databases and distributed ledgers (i.e. blockchains).

Who Should Attend

IoT, backend and blockchain engineers, and other computing professionals.

Prerequisites

  • Bachelor’s Degree in Computer Science, Electrical Engineering, with programming knowledge.
  • Other Bachelor Degree holders who can exhibit programming experience may also be considered.
  • Learners must complete the Neural Networks for the Internet of Things course.

Course Convener

(Click photo to view biography)

ddddd Colin Tan Keng Yan

Dr Colin Tan Keng YanDr Colin Tan Keng Yan

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

GST shall apply at prevailing rates

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

This course is eligible for Union Training Assistance Programme (UTAP). NTUC members can enjoy up to 50% funding (capped at $250 per year) under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2025. Please click here for more information.

To enquire, email soc-ace@nus.edu.sg

To register, click Register

Course Codes
TGS-2022011540 (Classroom Learning)
TGS-2022013106 (Synchronous e-Learning)

Course Fee Breakdown

Singapore Citizens

Singapore Citizens

39 years old or younger

Singapore Citizen

40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

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