DP-900: Microsoft Azure Data Fundamentals
Be thoroughly prepared for the exam and immediately learn how to apply data concepts and database services in Azure.
Data is the foundation of modern applications, analytics, and AI. Microsoft Azure offers a complete platform for storing, processing, and managing data, from relational databases to data lakes and real-time analytics. The DP-900 certification helps you understand how data works in Azure and which services to use for what purpose. You’ll learn the fundamentals of data modeling, storage, security, and analytics; building a solid base for data-driven development.
Understand and harness the power of data in Azure
This certification track builds your understanding of Azure’s key data services. You’ll learn the underlying concepts and discover how to use data securely and efficiently within your organization. After completion:
- You understand the core principles of relational, non-relational, and analytical data solutions
- You can choose the right Azure services for storage, processing, and analytics
- You know how to secure, manage, and make data available for applications and reporting
- You are well-prepared for the Microsoft DP-900 exam
What you’ll learn
The training follows the official Microsoft exam domains and covers key concepts and technologies:
- Exploring data concepts
- Types of data: structured, unstructured, streaming
- Data platforms and architectures
- Core principles of batch and real-time processing
- Working with relational data in Azure
- Azure SQL Database, Azure Database for PostgreSQL/MySQL
- Data models, tables, relationships, and queries
- Security, backups, and scalability
- Working with non-relational data in Azure
- Azure Cosmos DB: containers, partitions, consistency
- Key-value stores, document stores, and column families
- Choosing based on workloads and performance
- Analyzing data with Azure
- Azure Synapse Analytics: data warehousing and big data integration
- Azure Data Lake Storage: large-scale storage and data pipelines
- Azure Databricks: introduction to data engineering and machine learning
- Power BI: visualization and reporting
- Security, privacy, and governance
- Data security in Azure: encryption, access control, auditing
- Microsoft Purview for data cataloging and compliance
- Fundamentals of data governance and lifecycle management
Practical info
- Target audience: AI engineers, software developers, data scientists, and solution architects building or integrating AI solutions in Azure
- Level: Fundamentals (entry level)
- Duration: Tailored, depending on knowledge level and needs
- Location: Remote or classroom-based
- Materials: Official Microsoft course material, supplemented with practical cases
- Cost: Depends on training needs and program duration
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