Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

DP-900 Azure Data Fundamentals Training

Course Code: C1415

What's This Course About

Master the essentials of Azure data services with our DP-900 Azure Data Fundamentals Exam Prep Course. This course equips learners with the fundamental knowledge required to identify and describe core data concepts and how they are implemented using Microsoft Azure data services.

Our course provides comprehensive insights into the database concepts and the tools available on Azure. Whether you're a beginner or looking to boost your Azure skills, this course offers a step-by-step guide to understanding and utilizing Azure's data solutions. Leverage this knowledge to ace the DP-900 exam and expand your career prospects in the data domain.

Bonus: Free Practice Exams

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

Start Practising →

Funding Options

No funding is available for this course.

For WSQ funding, please checkout the details at WSQ - Microsoft Azure Data Fundamentals (DP-900)

Course Fee

$700.00 (GST-exclusive)
$763.00 (GST-inclusive)

Course Date

Course Time

* Required Fields

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

This course prepares you for the DP-900 certification exam, covering all official exam domains and their approximate weightings:

Domain 1 Describe core data concepts (27.5%)

  • Describe ways to represent data: structured, semi-structured, and unstructured data
  • Identify options for data storage: common file formats, common data stores/databases, Azure datastores for common use cases
  • Describe common data workloads: transactional vs analytical workloads
  • Identify roles and responsibilities for data workloads: database administrator, data engineer, data analyst

Domain 2 Identify considerations for relational data on Azure (22.5%)

  • Describe relational concepts: features of relational data, normalization, common SQL statements, common database objects
  • Describe the Azure SQL family of products: Azure SQL Database, Azure SQL Managed Instance, SQL Server on Azure Virtual Machines
  • Identify Azure database services for open-source database systems

Domain 3 Describe considerations for working with non-relational data on Azure (17.5%)

  • Describe the capabilities of Azure storage: Azure Blob storage, Azure Files, Azure Table storage
  • Describe the capabilities and features of Azure Cosmos DB
  • Identify use cases for Azure Cosmos DB
  • Describe Azure Cosmos DB APIs

Domain 4 Describe an analytics workload on Azure (27.5%)

  • Describe common elements of large-scale analytics: data ingestion/processing, analytical data stores, Azure Databricks and Microsoft Fabric
  • Describe considerations for real-time data analytics: batch vs streaming data, Microsoft cloud services for real-time analytics
  • Describe data visualization in Microsoft Power BI: capabilities of Power BI, data models, appropriate visualizations for data

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • 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 Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

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

Trainers

Sanjiv i is an ACTA certified experienced leader with a proven track record in business / finance consulting and in developing i) business intelligence (BI) solutions ii) data analytics/analysis solutions and iii) IOT lead BI solutions. Sanjiv's goal through Prudentia Consulting, is to promote the simple joy and excitement of actively using the Microsoft Platform. He believes that the agility afforded by the Microsoft platform helps businesses get time back for deeper business thinking and to spend more time with their end customers Sanjiv has rich experiences in diverse/complex high-tech businesses, turn around environments and strategic transformations. His functional expertise is in sales analytics, financial planning and analysis, engineering and program management. He has worked across discrete manufacturing, professional services and higher education verticals. He also has a working knowledge of equities portfolio management within the financial services domain.Sanjiv is the CEO of Prudentia Consulting, an organization committed to promoting the active usage of the Microsoft Platform. Prior to this, he has worked at Microsoft (US & APAC: 9.2 years), Cognizant Tech Solutions (3.3 years), Yazaki North America (8 years) and until recently at Oracle. Here are a few of his BI/analytics projects driven at scale: Built APAC wide BI dashboard using the Power BI umbrella tool set (Power BI online, Power BI desktop and Power Pivot) and a KPI lake (SQL DB), Helped develop key KPIs – identified key KPIs and helped land this in the DB, Developed a budget audit tool that captured budget inputs from a host of countries across the globe, Developed a business unit P&L reporting tool (functional architecture) in Business Objects for the world-wide financial planning and analysis team.

am a ACLP certified trainer. With In-depth and diversified experiences from Project Management DevOps, Blockchain, Project Management, Education, IT and even Numerology, I am passionate to meet good people and generate new ideas, in pursuit of realization of better world!

Kishan Raaj is a seasoned Data Science and SAP Program Manager with over 15 years of experience, currently leading all end-to-end training and projects for Data Science across Asia at LITHAN, Singapore. With expertise in machine learning, data analytics, and cloud technologies, he is well-versed in techniques such as regression, decision trees, clustering, and text mining. He has hands-on experience with tools like Python, R, Tableau, PowerBI, and Microsoft Azure Machine Learning Studio.As an ACTA certified trainer, Kishan has designed and delivered comprehensive courses for SAP and Data Science programs, managing teams and training in multiple countries, including Singapore, Malaysia, China, India, and Vietnam. His background in SAP, particularly in S4/HANA and ABAP, combined with his expertise in machine learning libraries such as TensorFlow and Keras, positions him as a highly capable leader in technical education and project management across various industries.

Peter Cheong is an IT and knowledge management professional with strong expertise in networking, cybersecurity, and information systems. He has completed the Cisco Networking Academy Introduction to Packet Tracer course and has participated in international ICT and knowledge management conferences such as the IFLA Knowledge Management Satellite Meeting. With professional experience in IT systems and infrastructure, Peter brings both technical knowledge and global exposure to his training. As an adult educator, Peter focuses on building learners’ foundational skills in cybersecurity, network defense, and risk management aligned to CompTIA Security+ objectives. His sessions emphasize real-world security scenarios, equipping participants to recognize vulnerabilities, manage threats, and implement effective security controls. His combination of practical training and industry exposure ensures learners are well-prepared for both the certification exam and workplace application.
Agus Salim is an experienced IT solutions and cybersecurity professional with a strong foundation in cloud infrastructure and project management. With over a decade of experience in systems integration, software development, and IT security across both enterprise and consulting environments, he brings a practical understanding of secure system design and deployment. His credentials include PMP, CompTIA Security+, CEH, and AWS Certified Cloud Practitioner, reflecting his balanced expertise in governance, risk management, and cloud operations. Agus has worked with leading organizations such as Citi and Check Point Software Technologies, providing hands-on technical and security support across multi-cloud platforms.

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