MS Certified: Azure Data Fundamentals (DP-900)
A course introducing core data concepts and demonstrating how Microsoft Azure services support data storage, processing, and analysis—ideal for preparing for the Azure Data Fundamentals (DP-900) certification.
This course is ideal for :
- Aspiring data professionals looking to build foundational skills in data handling and cloud services.
- Business analysts and functional professionals wanting to understand cloud data concepts.
- IT professionals and developers new to Azure who want to explore Microsoft’s data platform.
- Students or recent graduates aiming to kickstart a career in data-related roles.
- Professionals planning to pursue advanced Azure data certifications in the future.
Highlights
Upgrade your career top notch traning
- Comprehensive Introduction to Data Concepts: Understand core data principles including relational, non-relational, big data, and analytics workloads.
- Hands-On with Azure Data Services: Get practical experience working with Azure SQL Database, Cosmos DB, Synapse Analytics, and other core services.
- Relational and Non-Relational Data in Azure: Learn how data is stored, managed, and accessed using different data models and storage solutions.
- Cloud-Based Analytics Workloads: Explore how Azure supports real-time and batch data processing, along with Power BI integration.
- Beginner-Friendly Certification Path: No prior experience required—perfect starting point for aspiring data professionals or anyone new to cloud data.
- Aligned with DP-900 Certification: Course content is designed to prepare you for the Microsoft Certified: Azure Data Fundamentals (DP-900) exam.
- Flexible Learning Experience: Includes instructor-led or self-paced options, live demos, and exam-readiness support.
Outcomes
By the end of this course, participants will be equipped with:
- Data Concepts: Core ideas of structured/unstructured data, relational vs. non-relational databases, and analytics workloads.
- Azure Services: Use Azure SQL, Cosmos DB, and Synapse for storage, processing, and analysis.
- Hands-On Skills: Navigate the Azure portal, set up services, and perform basic configurations.
- Databases: Differentiate relational and non-relational solutions in Azure.
- Analytics: Understand big data and real-time analytics with Synapse.
- Security & Compliance: Learn Azure’s security, identity, and compliance practices.
- Cost Management: Explore pricing models and tools for budgeting cloud solutions.
- Business Use Cases: See how organizations apply Azure for data-driven outcomes.
- Certification Prep: Build readiness for Azure Data Fundamentals (DP-900).
Course Content
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About
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Key Learnings
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Pre-requisites
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Job roles and career paths
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Curriculum
The Microsoft Certified: Azure Data Fundamentals course is designed for individuals looking to build a strong foundation in data concepts and explore how Microsoft Azure delivers modern cloud-based data solutions.
Whether you're new to cloud technologies or beginning your journey in data roles, this course provides a step-by-step introduction to storing, managing, and analyzing data using Azure services.
Ideal for beginners, the course simplifies complex topics and includes real-world examples, hands-on demos, and exam-aligned content to help you gain confidence in working with cloud-based data platforms.
Join us to unlock the power of data in the cloud and take the first step toward a rewarding career in data and analytics with Microsoft Azure!
This course breaks down complex data concepts into simple, practical lessons designed for beginners. You’ll walk away with essential skills and knowledge such as:
- Understand core data concepts including structured vs. unstructured data, batch vs. streaming data, and the roles of relational and non-relational databases in modern business.
- Gain an overview of Microsoft Azure’s data platform, its architecture, and the various services it offers for data storage, processing, and analytics.
- Explore key Azure data services such as Azure SQL Database, Azure Cosmos DB, Azure Synapse Analytics, and Azure Data Lake, understanding their functions and ideal use cases.
- Develop hands-on skills using the Azure portal to provision and manage cloud-based databases and perform basic configuration tasks.
- Understand the principles of data security, privacy, and compliance within Azure, including access controls and regulatory frameworks.
- Learn how Azure supports analytics workloads such as business intelligence and big data through integrated services like Azure Synapse and Power BI.
- Get familiar with Azure’s pricing and support options, enabling effective cost estimation, resource planning, and service level management.
- Basic Computer Skills: Participants should be comfortable using computers and common software tools such as spreadsheets, presentation software, and web applications.
- No prior experience in Cloud environment required
This training will equip you for the following job roles and career paths:
- Data Analyst (Entry-Level)
- Data Engineer (Junior)
- Business Intelligence Analyst
- Azure Data Specialist
- Cloud Data Support Technician
- Precursor to roles in Data Science and Machine Learning
Module 1: Core Data Concepts
• Understanding the importance of data and the evolution of data storage
• Types of data: structured, semi-structured, and unstructured
• Data processing categories: batch vs. streaming
• Exploring data roles: data engineers, data scientists, data analysts
• Concepts of transactional and analytical workloads
Module 2: Relational Data in Azure
• Introduction to relational databases and schemas
• Overview of Azure SQL Database and its capabilities
• Provisioning and managing Azure SQL instances
• Querying and maintaining relational data in Azure
• Security, backup, and high availability options for relational data
Module 3: Non-Relational Data in Azure
• Understanding non-relational data and use cases
• Introduction to Azure Cosmos DB
• Key features: schema-less design, global distribution, and scalability
• Working with document, graph, column-family, and key-value databases
• Accessing and managing data using SDKs and APIs
Module 4: Modern Data Warehousing and Analytics Workloads
• What is data warehousing and how it supports analytics
• Introduction to Azure Synapse Analytics
• Components of a modern data warehouse architecture
• Basics of big data processing and analytics in Azure
• Overview of Azure Data Lake and integration with analytics tools
• Using Power BI with Azure data sources
Module 5: Security, Compliance & Governance
• Overview of Azure identity and access management
• Securing data using authentication and authorization
• Encryption, network security, and threat protection in Azure
• Azure’s compliance offerings and trust center
Module 6: Cost Management & Service Support
• Azure pricing models: subscription, pay-as-you-go, and reserved capacity
• Estimating and optimizing costs with Azure Pricing Calculator
• Azure Cost Management and billing alerts
• Support plans and service level agreements (SLAs)
• Navigating Microsoft Learn, documentation, and support channels
Module 7: Exam Preparation and Review
• Review of core concepts mapped to the DP-900 exam objectives
• Sample questions and knowledge checks
• Tips for scheduling and taking the certification exam
• Guidance on next steps in the Azure learning and certification path
Demand for Microsoft Certified: Azure Data Fundamentals
The demand for the Microsoft Certified: Azure Data Fundamentals course is driven by several major trends in the technology sector and cloud computing industry. As organizations increasingly adopt cloud platforms to manage and analyze vast amounts of data, there is a growing need for professionals who understand cloud-based data services.
Microsoft Azure is one of the leading cloud providers globally, and is widely used in enterprises across industries, including finance, retail, healthcare, and logistics. Employers are actively seeking professionals who can work with these technologies to support data-driven decision-making and digital transformation initiatives.
With cloud and data skills topping the list of in-demand tech capabilities, the DP-900 certification offers a valuable entry point for individuals seeking to build a career in cloud data management, analytics, and related fields.
FAQs
This course is ideal for aspiring data professionals, IT and cloud beginners, business analysts, project managers, consultants, students, and career changers who want to build foundational knowledge in data concepts, understand Azure data services, and prepare for the Azure Data Fundamentals (DP-900) certification.
The course is designed to be completed in approximately 32 hours, which includes 16 hours of instructor-led training and 16 hours of student practice.
No, prior experience is not required. This course is ideal for beginners and those new to data concepts and cloud technologies.
You’ll learn the fundamentals of data concepts, understand relational and non-relational databases, explore Azure data services like Azure SQL and Cosmos DB, and gain foundational knowledge in analytics workloads and data governance.
Yes, participants will receive a Certificate of Completion from Ohio Computer Academy. Additionally, this course prepares you to take the Microsoft Certified: Azure Data Fundamentals (DP-900) certification exam.
The course uses the Azure portal for hands-on labs and includes practice quizzes, reading materials, and access to instructor guidance.
Yes, this course is available in online format. It includes live instructor-led sessions with screen sharing and lab support.
You will have access to instructor support, guided lab walkthroughs, and additional resources like assignments and reading materials to reinforce learning.
To enroll, please email us at enroll@ohiocomputeracademy.com. We’ll help you complete the registration process.
Yes, we offer discounted pricing for group registrations from companies, institutions, or teams. Contact us at enroll@ohiocomputeracademy.com for a custom quote.
This course equips you for entry-level roles such as Cloud Data Support Associate, Junior Data Analyst, Azure Data Administrator, and acts as a stepping stone toward advanced certifications and data-centric careers in cloud computing.
