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[NP-CTDG6DT-FAS] (SCTP Module) Data Engineering and Migration: Building Data Solutions for Seamless Transition

Offered by School of InfoComm Technology

Certifiable Courses

Course Schedule
About Course
Course Structure
Entry Requirements
Financial Matters
Register Interest
Area of interest
Data Analytics, Others, Technology

Course Schedule

By submitting your course application for this module, you are applying towards the SkillsFuture Career Transition Programme (SCTP) - Data Governance:
https://stms.polite.edu.sg/student/ihlcourse/detail/11c3258b-fd2c-4ddf-871e-7350f5dbc4b0

About Course

Course Objectives

Data Engineering and Migration is a comprehensive course designed to equip learners with the essential skills and knowledge required to build data solutions for seamless transition. Whether you are a seasoned data professional or a beginner, this course will help you gain practical experience in designing and implementing data solutions that can transform your organization's data landscape.

The course will begin by providing an overview of data engineering fundamentals, including data modeling, data warehousing, and data pipeline design. We will examine various tools, technologies, and frameworks used in data engineering and explore how they contribute to building scalable, efficient, and reliable data solutions.

Next, we will delve into data migration strategies and best practices, including migrating data from legacy systems to modern ones. We will discuss common data migration challenges, such as data quality, consistency, and completeness and demonstrate how to address these challenges.

Throughout the course, we will emphasize hands-on exercises and real-world use cases to demonstrate the practical applications of the concepts discussed. We will cover topics such as ETL (Extract, Transform, Load), data integration, and data cleansing, using popular tools such as Apache Spark, AWS Glue, and Google Cloud Dataflow.

Course Description

This module aims to train learners to:
-Understand data engineering principles
-Apply data engineering principles to meet specific business requirements
-Understand planning and execution of complex data migration strategies including the migration of large volumes of data across diverse platforms
-Develop data migration plan based on business requirements including strategies for minimizing impact of data migration on business operations
-Learn diagnostic tools and troubleshooting techniques for infrastructure technical issues
-Develop action plan for infrastructure upgrade activities
-Develop Standard Operating Procedures for technical support operations
-Learn IT Asset Management principles
-Apply Asset Management principles to prepare an IT Asset Management plan for an organization

Course Structure

TPG course reference No.

TGS-2025059389

(SCTP Module) Data Engineering and Migration: Building Data Solutions for Seamless Transition
(SCTP Module) Data Engineering and Migration: Building Data Solutions for Seamless Transition (NP-CTDG6DT-FAS)
Data Engineering and Migration is a comprehensive course designed to equip learners with the essential skills and knowledge required to build data solutions for seamless transition. Whether you are a seasoned data professional or a beginner, this course will help you gain practical experience in designing and implementing data solutions that can transform your organization's data landscape.

The course will begin by providing an overview of data engineering fundamentals, including data modeling, data warehousing, and data pipeline design. We will examine various tools, technologies, and frameworks used in data engineering and explore how they contribute to building scalable, efficient, and reliable data solutions.

Next, we will delve into data migration strategies and best practices, including migrating data from legacy systems to modern ones. We will discuss common data migration challenges, such as data quality, consistency, and completeness and demonstrate how to address these challenges.

Throughout the course, we will emphasize hands-on exercises and real-world use cases to demonstrate the practical applications of the concepts discussed. We will cover topics such as ETL (Extract, Transform, Load), data integration, and data cleansing, using popular tools such as Apache Spark, AWS Glue, and Google Cloud Dataflow.
A Certificate of Completion will be awarded to learner who achieve at least 75% attendance and pass all required assessment(s).

A Certificate of Attendance will be awarded to learner who meet the 75% attendance requirement.

This module is part of the SkillsFuture Career Transition Programme (SCTP) - Data Governance:
https://stms.polite.edu.sg/student/ihlcourse/detail/11c3258b-fd2c-4ddf-871e-7350f5dbc4b0

Entry Requirements

Condition 1

Highest qualification

Possess a minimum Diploma in IT/Computer Science, Science, Technology, Engineering, Mathematics, or Business-related disciplines.
or

Condition 2

Working experience

Have a minimum of 3 years of relevant work experience, with demonstrated proficiency in foundational digital literacy, an understanding of basic IT infrastructure and data concepts, and proven analytical and problem-solving skills within an operational or business context. Proficiency in English (written, spoken, reading, and listening) to effectively comprehend complex regulatory and technical course materials, engage in discussions, and communicate findings.

Financial matters

Course fees payable (incl. GST & excl. supplementary fee)

Description (SCTP Module) Data Engineering and Migration: Building Data Solutions for Seamless Transition Total course fee
Full Course fee $4,360.00 $4,360.00
Additional course fee funding support $308.00 $308.00
SkillsFuture Mid-Career Enhanced Subsidy $508.00 $508.00
SkillsFuture Baseline Funding for Singapore Citizen aged below 40 $1,308.00 $1,308.00
SkillsFuture Baseline Funding for SPR $1,308.00 $1,308.00

GST rate

The course fees payable above are inclusive of 9% GST rate.

Payment option

The first payment needs to be made after accepting the offer.

Allowed payment by

The course fee allows to be paid by:
Post-Secondary Education Account (Adhoc withdrawal form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).

Refund and withdrawal policy

  • Please note that a 100% refund will be available if the withdrawal request is submitted more than or equal to 14 days before the course start date.
  • Please note that a 50% refund will be available if the withdrawal request is submitted less than 14 days before the course start date.
  • Please note that no refund will be available if the withdrawal request is submitted on or after the course start date.

Remarks

Government funding for SCTP only applies to all Singaporeans and Singapore Permanent Residents aged 21 years old and above, for more information please visit:
https://www.skillsfuture.gov.sg/careertransition

For more information on SkillsFuture Mid-Career Training Allowance, please visit:
https://www.myskillsfuture.gov.sg/content/portal/en/career-resources/career-resources/education-career-personal-development/SkillsFuture-Mid-Career-Training-Allowance.html

SkillsFuture Credit (SFC) can only be used to cover:
(i) Course fees payable;
(ii) Assessment fees which are part of the course;
(iii) Certification fees which are part of the course; and
(iv) GST imposed on components supported for SFC use.

Penalty charges apply if you:
(i) are absent/no-show;
(ii) withdraw from a course within 14 days of the course start date;
(iii) fail to meet terms and conditions for funding eligibility.

SFC cannot be used to offset penalty charges imposed by Ngee Ann Polytechnic.