WSQ - Microsoft Certified Fabric Data Engineer Associate (DP-700) Training

Topic 1 Ingest data with Microsoft Fabric

• Ingest Data with Dataflows Gen2 in Microsoft Fabric
• Orchestrate processes and data movement with Microsoft Fabric
• Use Apache Spark in Microsoft Fabric
• Get started with Real-Time Intelligence in Microsoft Fabric

Topic 2 Implement a Lakehouse with Microsoft Fabric

• Introduction to end-to-end analytics using Microsoft Fabric
• Get started with lakehouses in Microsoft Fabric
• Use Apache Spark in Microsoft Fabric
• Work with Delta Lake tables in Microsoft Fabric
• Ingest Data with Dataflows Gen2 in Microsoft Fabric

Topic 3 Implement Real-Time Intelligence with Microsoft Fabric

• Get started with Real-Time Intelligence in Microsoft Fabric
• Use real-time eventstreams in Microsoft Fabric
• Work with real-time data in a Microsoft Fabric eventhouse
• Create Real-Time Dashboards with Microsoft Fabric

Topic 4 Implement a data warehouse with Microsoft Fabric

• Introduction to end-to-end analytics using Microsoft Fabric
• Get started with data warehouses in Microsoft Fabric
• Load data into a Microsoft Fabric data warehouse
• Query a data warehouse in Microsoft Fabric

Topic 5 Manage a Microsoft Fabric environment

• Implement continuous integration and continuous delivery (CI/CD) in Microsoft Fabric
• Monitor activities in Microsoft Fabric
• Secure data access in Microsoft Fabric

Final Assessment 

• Written Assessment - Short Answer Questions (WA-SAQ)
• Practical Performance (PP)

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

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

1. The candidate has the right to disagree with the assessment decision made by the assessor.
2. When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
3. If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
4. If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
5. If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
6. 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.
7. The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
8. The candidate must lodge the appeal within 7 days, giving reasons for appeal 
9. The assessor can help the candidate with writing and lodging the appeal.
10. he assessment manager will collect information from the candidate & assessor and give a final decision.
11. A record of the appeal and any subsequent actions and findings will be made.
12. An Assessment Appeal Panel will be formed to review and give a decision.
13. The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
14. The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
15. Please click the link below to fill up the Candidates Appeal Form.

• Data Engineer
• Business Intelligence Analyst
• Data Warehouse Developer
• Data Integration Specialist
• Analytics Engineer
• Big Data Engineer
• Microsoft Fabric Specialist
• Data Platform Engineer
• ETL Developer
• Cloud Data Engineer
• Database Administrator
• Data Operations Specialist
• Real-Time Data Analyst
• Machine Learning Data Engineer
• Spark Developer
• Data Infrastructure Consultant
• Data Governance Analyst
• Data Systems Architect
• Continuous Integration Engineer
• Data Security Analyst

Sanjiv Venkatram:
Sanjiv Venkatram is an IT strategist and cloud solutions architect with over 25 years of experience in enterprise data systems, Microsoft Azure infrastructure, and DevOps transformation. A Microsoft Certified Azure Solutions Architect and DevOps Engineer Expert, he has led large-scale digital transformation and data modernization projects for global organizations across the financial, manufacturing, and public sectors. Sanjiv’s expertise spans data engineering, AI-driven analytics, and end-to-end Azure data platform integration.

In “Microsoft Azure Data Engineer Associate (DP-203),” Sanjiv equips learners with practical skills to design, implement, and optimize data pipelines on the Azure platform. His sessions focus on Azure Synapse Analytics, Data Factory, and Databricks integration for real-time processing and data warehousing. Through applied case studies and architecture-focused exercises, he helps participants build scalable, secure, and efficient data solutions aligned with enterprise analytics and governance standards.

Agus Salim: Agus Salim is an experienced IT systems engineer and cloud computing specialist with more than 15 years of expertise in data management, analytics, and Microsoft Azure administration. A WSQ-accredited trainer and Microsoft Certified Professional, he has trained professionals in database optimization, Power BI integration, and cloud-based data solutions for enterprise deployment. His strength lies in translating complex technical systems into accessible, actionable knowledge for IT professionals and business analysts alike.

In “Microsoft Azure Data Engineer Associate (DP-203),” Agus provides a hands-on learning experience in designing and managing data storage and processing solutions using Azure technologies. His sessions cover data ingestion, transformation, and security with a focus on Azure Data Lake, Synapse Analytics, and Data Factory. By combining theory with real-world examples, he empowers participants to build robust data engineering workflows that drive analytics, automation, and informed business decisions.

Kishan Raaj: Kishan Raaj is a Microsoft Certified Azure Data Scientist and SAP Certified Application Specialist with more than 20 years of experience in data science, analytics, and cloud architecture. He has led enterprise-scale data engineering and analytics projects for organizations such as Accenture, Hitachi, and Singapore Power, with expertise in Microsoft Azure, Power BI, and machine learning integration. As an ACTA-certified instructor, he has delivered over 15,000 hours of professional training, blending technical depth with strategic business insight.

In “Microsoft Azure Data Engineer Associate (DP-203),” Kishan focuses on building end-to-end data engineering solutions that enable seamless data flow, transformation, and analysis. His sessions highlight data architecture design, Azure Databricks implementation, and data governance frameworks. Drawing from his vast consulting experience, he teaches participants how to build scalable and compliant data pipelines that transform raw data into actionable intelligence within the Azure ecosystem.

Alec Tan Chee Wee: Alec Tan is a seasoned IT consultant and cloud infrastructure architect with over 15 years of experience in Microsoft Azure, data integration, and enterprise system design. He has implemented and managed large-scale data solutions for multinational clients, focusing on hybrid cloud architecture, secure data flow, and analytics-driven insights. Alec is recognized for his practical approach to training, blending deep technical knowledge with hands-on project experience.

In “Microsoft Azure Data Engineer Associate (DP-203),” Alec teaches learners how to design, build, and maintain secure and optimized data solutions using Azure Data Factory, Synapse Analytics, and Databricks. His sessions emphasize automation, ETL pipeline efficiency, and data governance. Through applied exercises, he helps participants master the Azure data ecosystem—transforming complex data challenges into scalable, high-performance business solutions.

Bernard Peh: Bernard Peh is an experienced IT consultant, educator, and digital transformation specialist with over 20 years of experience in data management, enterprise IT systems, and Microsoft technologies. He has delivered training and consultancy in areas such as cloud migration, data visualization, and business intelligence. A certified ACLP trainer, Bernard is known for his structured, practical teaching approach that bridges data theory with implementation excellence.

In “Microsoft Azure Data Engineer Associate (DP-203),” Bernard focuses on enabling professionals to build and manage data pipelines using Azure’s suite of services. His training covers data ingestion, transformation, and storage optimization while reinforcing best practices in security and compliance. With his strong background in enterprise data strategy, he helps learners apply Azure tools effectively to drive analytics maturity and organizational data readiness.