Introduction to Microsoft Azure Data core data concepts
- Free
- No certificate
- Beginner
- 1 hour
This short learning path opens Microsoft's Azure Data Fundamentals series, the training that supports the DP-900 exam. Microsoft's catalog lists it at 57 minutes, which we round to one hour, and rates it beginner. It has two modules read in sequence: the first explores core data concepts, covering how data is represented and stored and the difference between transactional and analytical workloads; the second explores data roles and services, walking through the jobs found on a data team and the Microsoft services they typically use, from Azure SQL and Cosmos DB to Fabric and Power BI. The modules are text units with a knowledge check at the end, and no subscription is needed for this particular path because it contains no hands-on exercises.
The path is free, like all Microsoft Learn training, and can be read without signing in; a profile is only needed if you want progress tracking and the completion trophy. No certificate is issued for completing it. Microsoft publishes three follow-on paths in the same series, on relational data, non-relational data and analytics in Azure, for readers who want to continue.
What you’ll learn
- Identify common data formats and the difference between structured, semi-structured and unstructured data
- Distinguish transactional workloads from analytical workloads
- Describe the roles people hold on a data team and what each one is responsible for
- Name the main Microsoft data services and match them to typical workloads
Who it’s for
People starting out in data work who want the shared vocabulary of databases, analytics and data roles before choosing a tool.
Source: Microsoft Learn (opens in a new tab) · Verified · Report a change
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