Course Details
Topic 1: Explore Core Data Concepts
- Data formats
- File storage
- Transactional data processing
- Analytical data processing
- Data roles and services
- Job roles in the world of data
- Data services
Topic 2: Explore Relational Data in Azure
- Overview of relational data
- Normalization
- Explore SQL
- Describe database objects
- Explore relational database services in Azure
- Azure SQL services and capabilities
- Azure services for open-source databases
Topic 3: Explore Non-Relational Data in Azure
- Azure blob storage
- Azure DataLake Storage Gen2
- Azure Files
- Azure Tables
- Azure Cosmos DB
Topic 4: Explore Data Analytics in Azure
- Large-scale data warehousing
- Data ingestion pipelines
- Analytical data stores
- Fundamentals of real-time analytics
- Batch and stream processing
- Common elements of stream processing architecture
- Azure Stream Analytics
- Apache Spark on Microsoft Azure
- Overview of Data visualization
- Power BI tools and workflow
- Overview of data modeling
Final Assessment
- Written Assessment - Short Answer Questions (WA-SAQ)
- Practical Performance (PP)
Course Info
Promotion Code
Promo or discount cannot be applied to WSQ courses
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Year Group : 21-65 years old
Minimum Software/Hardware Requirement
Software:
You need to sign up a Azure account (Credit Card is required).
Hardware: Windows and Mac Laptops
About Progressive Wage Model (PWM)
The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity.
Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.
For more information on PWM, please visit MOM site.
Funding Eligility Criteria
| Individual Sponsored Trainee | Employer Sponsored Trainee |
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SkillsFuture Credit:
PSEA:
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Absentee Payroll (AP) Funding:
SFEC:
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Steps to Apply Skills Future Claim
- The staff will send you an invoice with the fee breakdown.
- Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
- Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
- Upload your invoice and click ‘Submit’
SkillsFuture Level-Up Program
The SkillsFuture Level-Up Programme provides greater structural support for mid-career Singaporeans aged 40 years and above to pursue a substantive skills reboot and stay relevant in a changing economy. For more information, visit SkillsFuture Level-Up Programme
Get Additional Course Fee Support Up to $500 under UTAP
The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).
For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)
Steps to Apply UTAP
- Log in to your U Portal account to submit your UTAP application upon completion of the course.
Note
- SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
- All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
- An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
- UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
- UTAP support amount will be paid to training provider first and claimed after end of class by learner.
Appeal Process
- The candidate has the right to disagree with the assessment decision made by the assessor.
- When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
- If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
- If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
- If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
- If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
- The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
- The candidate must lodge the appeal within 7 days, giving reasons for appeal
- The assessor can help the candidate with writing and lodging the appeal.
- he assessment manager will collect information from the candidate & assessor and give a final decision.
- A record of the appeal and any subsequent actions and findings will be made.
- An Assessment Appeal Panel will be formed to review and give a decision.
- The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
- The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
- Please click the link below to fill up the Candidates Appeal Form.
Job Roles
- Data Engineer on Azure
- Azure Database Administrator
- Data Scientist (using Azure tools)
- Business Intelligence Developer on Azure
- Azure Data Solutions Architect
- Data Analytics Specialist on Azure
- Database Developer (migrating to Azure)
- Big Data Specialist on Azure
- Machine Learning Engineer (utilizing Azure data services)
- Data Warehouse Architect on Azure
- IT Professionals (seeking data specialization on Azure)
- Cloud Data Consultant
- ETL Developer on Azure
- Azure Data Lake Specialist
- Data Migration Specialist on Azure.
Trainers
Sanjiv Venkatram - Sanjiv Venkatram is a Microsoft Most Valuable Professional (MVP), Microsoft Certified Trainer (MCT), and CEO of Prudentia Consulting with more than 20 years of experience in digital transformation across Asia-Pacific and North America. He has successfully delivered enterprise-grade solutions on Microsoft Azure, Power Platform, and SharePoint, achieving significant efficiency gains and measurable cost savings. As co-founder of the Microsoft Business Applications and Power Platform Community in Singapore, Sanjiv has also nurtured a thriving network of professionals advancing cloud adoption.
In this DP-900 program, Sanjiv draws on his deep technical and consulting expertise to teach learners the fundamentals of Azure databases, data warehousing, and data analytics services. His training emphasizes practical use cases for structured, semi-structured, and unstructured data in Azure, ensuring participants gain the knowledge and confidence to manage and analyze data effectively on the cloud.
Alec Tan - Alec Tan is a data and cloud professional with strong expertise in Microsoft Azure services, data modeling, and business analytics. With a career spanning IT consulting and training, Alec has delivered courses on data fundamentals, database design, and cloud-based analytics solutions to learners across industries. His proficiency in Azure SQL, Cosmos DB, and data visualization tools enables him to provide both foundational and applied knowledge for cloud data management.
As a trainer, Alec focuses on bridging theory with hands-on exercises in Azure. In this course, he guides participants through key DP-900 domains, including relational and non-relational data, modern data warehousing, and big data solutions. His approach ensures learners not only understand Azure data concepts but also develop job-ready skills to support cloud-based data initiatives in their organizations.
Kishan Raaj - Kishan Raaj is an IT trainer and consultant specializing in cloud computing, data fundamentals, and workplace digital transformation. With a strong background in delivering SkillsFuture-accredited programs, he has trained professionals in Microsoft Azure, Power BI, and Python programming. His teaching is recognized for making technical concepts approachable to learners of all levels, from beginners to working professionals transitioning into cloud data roles.
In Azure Data Fundamentals training, Kishan emphasizes practical learning through guided labs and case-based applications. He equips participants with the ability to differentiate relational vs. non-relational data, understand Azure storage solutions, and explore analytics workflows. His learner-first approach ensures participants gain confidence in applying DP-900 skills in both technical and business environments.
Quah Chee Yong (QCY) - Quah Chee Yong (QCY) is a WSQ ACLP-certified trainer and data science practitioner with strong expertise in machine learning, NLP, and AI adoption. He has led training programs under SAP’s SGUnited initiative and Sustainable Living Lab, covering predictive analytics, data visualization, and cloud-based AI services. His industry experience includes building recommender systems, chatbots, and data-driven business applications, giving him deep insights into applied data workflows.
In this program, QCY focuses on simplifying Azure data concepts for learners through structured, hands-on practice. He covers DP-900 core topics such as relational and non-relational data services, modern data warehousing, and analytics pipelines on Azure. His ability to integrate data science use cases with cloud technologies ensures participants gain both technical knowledge and practical perspectives in cloud data management.
Truman Ng - Truman Ng is a highly certified ICT and infrastructure professional with more than 20 years of experience in networking, cybersecurity, and IT systems. Holding global certifications such as PMP®, HCIE®, and ACTA, Truman has trained professionals in Linux, DevOps, RPA, and cloud computing, equipping them with the technical and operational skills to manage enterprise IT environments. His career spans hands-on deployment of IT infrastructure and delivery of advanced professional training programs.
In Azure Data Fundamentals training, Truman emphasizes the integration of cloud infrastructure with data management and analytics. He guides learners through DP-900 domains such as Azure relational databases, Cosmos DB, and analytics workloads, ensuring participants understand how to manage and process data securely in the cloud. His practical, infrastructure-focused approach equips learners to apply DP-900 skills in enterprise environments confidently.
Customer Reviews (8)
- Average Rating: 4.0/5 Review by Course Participant/Trainee
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nil (Posted on 3/12/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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can improve the lab portal for the hands-on training. as well as material to be more illustrative. (Posted on 5/11/2024)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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can improve the lab portal for the hands-on training. as well as material to be more illustrative. (Posted on 5/10/2024)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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. (Posted on 7/4/2021)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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Cannot think only noe (Posted on 10/24/2020)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Will Recommend Review by Course Participant/Trainee
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More practical examples (Posted on 8/7/2019)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Will Recommend Review by Course Participant/Trainee
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May be allocate more time for hand-on. (Posted on 8/7/2019)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Will Recommend Review by Course Participant/Trainee
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More practical examples (Posted on 8/7/2019)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment








