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learn-pr/wwl/orchestrate-processes-in-fabric/includes/1-introduction.md

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This module covers various articles that provide an overview of some of the data orchestration and data movement technologies within Microsoft Fabric. It provides an overview of the scheduling and event-based triggering capabilities, which can help data engineers design pro-active systems to support the rapidly changing data needs of business.
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This module covers various units that provide an overview of some of the data orchestration and data movement technologies within Microsoft Fabric. It provides an overview of the scheduling and event-based triggering capabilities, which can help data engineers design pro-active systems to support the rapidly changing data needs of business.
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## Pipelines in Microsoft Fabric
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learn-pr/wwl/orchestrate-processes-in-fabric/includes/6-summary.md

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The main takeaways from this module include understanding how Data Factory and Notebooks complement each other in managing and analyzing data within the Microsoft Fabric ecosystem. You also learned about the real-world use cases of Dataflows, such as data consolidation for reporting, data preparation for machine learning, real-time data processing, data migration, and self-service data preparation. Additionally, you gained insights into how to initiate data pipeline runs either manually or automatically and how to automate tasks based on events in storage accounts using storage event triggers.
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More Reading:
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1. [Getting started with Microsoft Fabric](https://docs.microsoft.com/en-us/azure/data-factory/introduction)
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2. [Understanding Dataflows in Microsoft Fabric](https://docs.microsoft.com/en-us/power-query/dataflows/overview)
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3. [Exploring Notebooks in Microsoft Fabric](https://docs.microsoft.com/en-us/azure/notebooks/)
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4. [Scheduling Jobs in Microsoft Fabric](https://docs.microsoft.com/en-us/azure/data-factory/scheduling-and-execution)
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1. [Getting started with Microsoft Fabric](https://docs.microsoft.com/azure/data-factory/introduction)
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2. [Understanding Dataflows in Microsoft Fabric](https://docs.microsoft.com/power-query/dataflows/overview)
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3. [Exploring Notebooks in Microsoft Fabric](https://docs.microsoft.com/azure/notebooks/)
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4. [Scheduling Jobs in Microsoft Fabric](https://docs.microsoft.com/azure/data-factory/scheduling-and-execution)
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