- Object and file storage for unstructured data and large binary objects.
- Relational databases for structured, transactional data.
- Semi-structured and NoSQL solutions for massive scale and flexible schemas.
- Geo-replication and redundancy to ensure global availability and resilience.
- Data integration and analytics to aggregate, transform, and report on data.
- File and object storage — for files, media, backups, and unstructured data (e.g., Azure Blob Storage, Azure Files).
- Structured storage — relational databases for ACID transactions and relational models (e.g., Azure SQL Database).
- Semi-structured and NoSQL storage — for schema-flexible, high-throughput workloads (e.g., Azure Cosmos DB).
- Geo-replication and redundancy — strategies and Azure options to protect and replicate data across regions.
- Data integration and analytics — bringing data together for ETL, reporting, and insights (e.g., Azure Data Factory, Synapse).


If you plan to pursue the DP-900: Microsoft Azure Data Fundamentals certification, follow the demos and practice in the Playgrounds to reinforce both conceptual understanding and practical skills.

- Different storage categories in Azure and their primary use cases.
- How to compare options by cost, performance, availability, and consistency.
- How to set up basic resources in the Azure portal and via CLI.
- How to design resilient storage with replication and recovery in mind.
- How to integrate data for analytics and reporting.
Recommended study path
- Watch each lecture to build the conceptual map.
- Reproduce the demo steps in the Playgrounds or your subscription.
- Post questions in the community forum to clear doubts.
- Review the table above and map each application requirement to a storage pattern.
- Take practice assessments to validate readiness for DP-900.
- Azure Storage documentation
- Azure SQL Database documentation
- Azure Cosmos DB documentation
- Azure Data Factory documentation