27 to 28 Sep 2021
25 Jun to 12 Sep 2021
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
|Applicants/Eligibility||Total fees (incl. GST)|
|Singapore Citizens aged 40 and above1||$108.90|
|Singapore Citizens aged below 40||$288.90|
|Singapore Permanent Residents||$288.90|
|SME-sponsored Singapore Citizens and Permanent Residents2||$108.90|
|Full Course Fee||$963.00|
Singaporeans aged 25 years and above may use **SkillsFuture Credit balance
to offset respective course fees.1Under the SkillsFuture Mid-career Enhanced Subsidy. For more information, visit the SkillsFuture website here. 2 Under the Enhanced Training Support for Small & Medium Enterprises (SMEs) Scheme. For more information of the scheme, click here. To view SP’s list of similar funded courses, click here. Please submit the attached “Declaration Form for Enhanced Training Support Scheme for SME” together with your online application.
Please click here for more information on funding incentives.
Eligible for SkillsFuture CreditTerms and Conditions*Please note that once the maximum class size is reached, the online registration will be closed.
You may register your interest, and would be notified if there is new run.
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:
c) For payment via PayNow, please enter the UEN No. T08GB0056ACET and indicate the invoice/registration number.
*With effect from 1 August 2021, cheque payment will not be available.
2. All successful applicants will be notified with a letter of confirmation via email.