A Microsoft online analytical data engine used in decision support and business analytics, providing the analytical data for business reports and client applications such as Power BI, Excel, Reporting Services reports, and other data visualization tools.
Yes. Microsoft provides real datasets and real database services that can be used to practice data analytics projects without AI.
Two practical options are supported by the context:
- Use Azure relational database services Azure supports SQL-based database solutions including SQL Server, PostgreSQL, and MySQL for storing and retrieving application data in the cloud. Training content is available for provisioning and working with Azure SQL Database, including using the Azure portal and Cloud Shell.
- Use real public datasets in Azure
Azure Open Datasets provides curated public datasets that are copied into Azure and preprocessed for easier use. These are real datasets suitable for analytics workflows. Examples listed include:
- NYC taxi trip records
- US Labor Force Statistics
- US National Employment Hours and Earnings
If the goal is hands-on analytics practice, the most direct path is:
- provision an Azure SQL Database or another Azure relational database service
- load one of the Azure Open Datasets or another public dataset into it
- practice querying, reporting, and analysis
Visual Studio also supports working with data across many database systems, including Azure SQL Server DB, Azure Storage, Azure Cosmos DB, SQLite, and local/container-based PostgreSQL and MongoDB options.
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