Understanding core data concepts is a crucial first step into any modern data role. This course introduces participants to the fundamentals of relational and non-relational databases, big data, and analytics within the Microsoft Azure ecosystem. It sets a solid foundation through interactive lessons and practical examples.
Learning Outcomes:
Understand core data concepts and data services in Azure
Identify relational and non-relational database offerings
Describe key analytics and reporting solutions on Azure
Apply basic cloud data security and compliance principles
Key Topics:
Relational vs non-relational data structures
Azure SQL, Cosmos DB, and Synapse Analytics
Real-time and batch data processing concepts
Azure Data Lake, Data Factory, and Power BI
Security, privacy, and compliance in Azure
Exam Details
This course is designed to build participants’ understanding of key concepts and domains covered in the DP-900: Microsoft Azure Data Fundamentals certification.
While the course provides technical training aligned with certification objectives, the certification exam is not bundled and must be registered separately.
To maximise success, participants are strongly encouraged to complement the course with additional self-study, revision of course materials, and dedicated practice before attempting the exam.
1. Explore core data concepts
Data powers the digital transformation that is sweeping across organizations and society in general. But what is "data", and how is it represented and used?
2. Explore data roles and services
Data professionals perform distinct roles in building and managing software solutions, and work with multiple technologies and services to do so.
3. Explore fundamental relational data concepts
Relational database systems are a common way to store and manage transactional and analytical data in organizations of any size around the world.
4. Explore relational database services in Azure
Microsoft Azure provides multiple services for relational databases. You can choose the relational database management system that's best for your needs, and host relational data in the cloud.
5. Explore Azure Storage for non-relational data
Azure Storage is a core service in Microsoft Azure that is commonly used to store non-relational data.
6. Explore fundamentals of Azure Cosmos DB
Azure Cosmos DB provides a highly scalable store for non-relational data.
7. Explore fundamentals of large-scale data warehousing
Organizations use modern data warehousing to build large scale data analytics solutions that generate insights and drive success. Microsoft Azure includes multiple technologies that you can combine to build a modern data warehousing solution.
8. Explore fundamentals of real-time analytics
Learn about the basics of stream processing, and the services in Microsoft Azure that you can use to implement real-time analytics solutions.
9. Explore fundamentals of data visualization
Learn the fundamental principles of analytical data modeling and data visualization, using Microsoft Power BI as a platform to explore these principles in action.
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