16 hours / 2 days
9:00am to 6:00pm
Mode of Training:
Data engineering is an enabler in helping different business functions to get better insights from data by performing advanced analytics. Data engineering is also an integral part of the new world of big data which ensures effective collection of high quality, consistent and fit for purpose data. For example, data engineering helps financial institutions to improve data quality, accuracy and reliability for financial risk management. Data engineering platform helps retailers make sense of their customer data to optimize their merchandising tactics and personalize customer in-store experience. Manufacturing companies use data engineering to take a deep dive in their inventory and sales data to optimize its inventory management. Without proper data engineering processes in place, businesses would never be able to keep up with the influx of data or obtain reliable results from their analysis.
To enable participants to learn about database concepts, architectural design patterns necessary for building data warehousing solutions. Additionally they also learn best practices and methodologies in data acquisition, integration, effective storage and transformation of data for analytical purposes and downstream applications
• Introduction to advanced Data Engineering
• Database vs Data warehouses
• Detailed Data Warehouse Concepts and Architectures
• Design Practices and Methodologies
• Data Validation Techniques
• Emerging trends in data engineering
• Data Integration Concepts, Processes, and Techniques
IT Analysts, Data Analysts, Technical Leads, IT Engineers, Data Engineers and Developers.
Minimum Entry Requirements / Assumed Skills and Knowledge
1. Participants are required to bring their own laptops for this training
2. Experienced in IT work and in handling business data.
Award / Certification / Accreditation
• Certificate of Performance (electronic Certificate will be issued)
A Certificate of Performance will be awarded to participants who pass the assessment and meet at least 75% attendance rate
Course Fees payable:
|Singapore Citizens aged below 40 and Singapore PRs||Singapore Citizens||Others|
|Non-SME sponsored||1Sponsored by SME||2Aged 40 and above||3Aged 35 and above, and earn ≤ $2,000 per month|
Singaporeans aged 25 years and above may use **SkillsFuture Credit balance to offset respective course fees.
1 Under the Enhanced Training Support for Small & Medium Enterprises (SMEs) Scheme. For more information, click here. Please submit the attached “Declaration Form for Enhanced Training Support Scheme for SME” together with your online application.
2 Under the SkillsFuture Mid-career Enhanced Subsidy. For more information, visit the SkillsFuture website here.
3 Under the Workfare Training Support (WTS) scheme. For more information on the scheme, click here.
Please click here for more information on funding incentives.
1. All applications must be made via Online Registration at www.pace.sp.edu.sg
Course fees can be paid by the following payment modes:
a) Credit Cards, Internet Banking, NETS (Not Applicable for company sponsored)
For e-payment using Visa/Master cards and Internet Banking, please click on the ‘Make e-Payment’ button on the acknowledgement page to proceed.
b) For NETS payment, you can pay at:
Please make cheques payable to “Singapore Polytechnic”. Do cross the cheque and write the Registration Reference ID, Applicant Name and NRIC/FIN number at the back of the cheque. When you have completed required details, you may mail the cheque here.
Please note that an administrative charge of $15 will be imposed for any returned cheques from the bank or financial institution.
2. All successful applicants will be notified with a letter of confirmation via email.