Complete beginners seeking a structured introduction to data concepts and Microsoft Azure data services
Students and job seekers preparing for entry-level cloud, data, or database roles
IT professionals looking to understand modern cloud data platforms and Azure data solutions
Data analysts and developers wanting foundational knowledge of Azure databases and analytics services
Career changers exploring opportunities in cloud data, analytics, and database technologies
Professionals preparing for the DP-900 Microsoft Azure Data Fundamentals certification exam
Learn core data concepts and modern data workloads in Microsoft Azure
Delivered using OCA’s Skill Sprint™ Method with hands-on practice and instructor-led feedback
Explore relational, non-relational, and analytical data solutions in Azure
Understand Azure database services including Azure SQL, Cosmos DB, and data storage solutions
Interpret data processing, analytics, and visualization services in the Azure ecosystem
Develop foundational knowledge aligned with DP-900 certification objectives
Apply cloud data concepts to real-world business and analytics scenarios
DP-900 Azure Data Fundamentals is a practical, beginner-friendly program designed to build a strong foundation in data concepts and Microsoft Azure data services. The course provides a clear and structured introduction to modern data workloads including relational databases, non-relational data, analytics, and cloud-based data solutions, making it suitable for individuals entering the cloud data field as well as professionals expanding their technical knowledge.
Through guided learning and structured hands-on practice, participants develop an understanding of how data is stored, managed, and processed within the Azure ecosystem. The curriculum introduces relational and non-relational database services, Azure SQL, Cosmos DB, storage solutions, and modern analytics services used to transform data into actionable insights. Emphasis is placed on understanding real-world business data scenarios and interpreting how Azure services support modern data architectures.
Upon completion, learners possess foundational knowledge of cloud data concepts and the ability to interpret Azure data solutions used in modern organizations. The program also establishes a strong pathway toward advanced Azure certifications and roles in cloud data engineering, data analytics, and database administration.
The following basic skills are recommended to maximize learning outcomes:
Comfort using a computer (file navigation, browser usage, basic typing)
Basic familiarity with using web applications and online platforms
General understanding of fundamental IT or technology concepts
Interest in cloud data platforms, databases, and analytics technologies
Willingness to learn new concepts and participate in structured hands-on learning exercises
By the end of this course, you will be able to:
Understand core data concepts including relational, non-relational, and analytical data workloads
Explain how modern cloud data platforms support business data solutions
Identify and differentiate Azure data services such as Azure SQL Database, Cosmos DB, and Azure Storage
Understand relational database concepts including tables, schemas, and structured data models
Interpret non-relational data solutions including key-value, document, and graph databases
Understand data analytics workloads including data warehousing and big data processing
Identify Azure analytics services such as Azure Synapse Analytics and Azure Data Factory
Interpret data visualization and reporting concepts used in modern analytics platforms
Apply Azure data fundamentals to real-world business data scenarios
Understand core concepts required for the DP-900 Microsoft Azure Data Fundamentals certification exam
Analyze how organizations store, process, and analyze data in cloud environments
Build a strong foundation for advanced Azure data, analytics, and cloud engineering learning paths
This course prepares learners for entry-level and foundational roles in cloud data platforms, database technologies, and data analytics environments. After completing the program, learners will be better prepared for positions such as:
Azure Data Associate
Cloud Data Analyst
Junior Data Analyst (Cloud Platforms)
Database Support Specialist
Cloud Data Operations Analyst
Business Intelligence Associate
Data Platform Support Analyst
This course follows our proprietary OCA Skill Sprint Method — a structured approach focused on clear goals, hands-on practice, real-world application, and measurable performance.
Data has become one of the most valuable assets in modern organizations, and cloud platforms like Microsoft Azure play a critical role in how data is stored, managed, and analyzed. Businesses across industries including finance, healthcare, retail, technology, and government are rapidly adopting cloud-based data platforms to support analytics, reporting, and data-driven decision-making. As a result, professionals who understand both data concepts and cloud data services are increasingly in demand.
With the growth of cloud computing and modern data architectures, organizations require professionals who can interpret relational and non-relational data systems, understand analytics workloads, and support data platforms in the cloud. Foundational knowledge of Azure data services, databases, and analytics tools has become a valuable skill for both technical and business professionals working in data-driven environments.
This course addresses the growing demand for:
Foundational knowledge of cloud data platforms and modern data architectures
Professionals who understand relational, non-relational, and analytical data workloads
Skills in Microsoft Azure data services used by enterprises worldwide
Workforce development for cloud data, analytics, and database support roles
A structured entry pathway into advanced Azure Data Engineer and Data Analytics certifications
Understanding how cloud data platforms work is becoming an essential skill for professionals working with modern data systems and analytics-driven organizations.