From the course: Introduction to Microsoft Fabric by Microsoft Press
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Organize data in a data warehouse - Microsoft Fabric Tutorial
From the course: Introduction to Microsoft Fabric by Microsoft Press
Organize data in a data warehouse
- In the previous sub-lesson, we talked about the schema-first and data-first paradigms in data management. For many years, the only way to do analytics or business intelligence is by using relational database technology, schema-first solution. Data warehouse is commonly understood as a relational database designed to store data for reporting and analysis. You may also see the term enterprise data warehouse. Here the objective is to gather all data in the enterprise into one large database as the single source of truth for all analytics activities throughout the organization. Being a relational database, the data warehouse is based on SQL or Structured Query Language or SQL in short. If you're not familiar with SQL, this is the language used to query or retrieve sets of data from relational databases. With SQL, you can write queries that retrieve data from multiple tables in the database. When you do this, you need to specify in which way these tables are joined together in the result…
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Learning objectives1m 26s
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Understand OneLake9m 43s
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Organize data in a data warehouse7m 12s
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Organize data in a lakehouse5m 45s
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Load and transform data through pipelines and dataflows6m 17s
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Analyze data with semantic models and reports11m 37s
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Work with data through notebooks5m 49s
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Apply advanced data science6m 33s
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Implement real-time analytics5m 8s
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Act on your data with Data Activator5m 16s
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Monitor and manage with Purview2m 20s
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Choose roles in Fabric4m 13s
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