From the course: Introduction to Microsoft Fabric by Microsoft Press
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Load and transform data through pipelines and dataflows - Microsoft Fabric Tutorial
From the course: Introduction to Microsoft Fabric by Microsoft Press
Load and transform data through pipelines and dataflows
- As we have discussed before, preparing data for analytics solution requires loading the data into the platform used. It also requires changing the structure of the data as most data coming from transactional systems is structured in a specific way that is not fitted for analytics. There is a set of tools and techniques to do just this, loading and transforming data. It's simply called ETL for extract, transform, load. Extract data from different sources, transform the structure of the data, and load the data into the storage you will use for your solution. Will probably not surprise you at this point that Fabric offers its own ETL capabilities. As a matter of fact, you have multiple options to choose from, and we will cover two of these in this sub-lesson. But first, note that the ETL acronym not only stands for what these tools do, it also suggests an order in which these tasks are performed. First, you extract data, then you apply transformations, and then you load the transformed…
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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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