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articles/synapse-analytics/concepts-data-flow-overview.md

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@@ -6,20 +6,18 @@ ms.author: makromer
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ms.reviewer: daperlov
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ms.service: azure-synapse-analytics
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ms.subservice: pipeline
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ms.topic: conceptual
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ms.topic: concept-article
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ms.custom: references_regions
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ms.date: 12/16/2020
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---
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# Data flows in Azure Synapse Analytics
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## What are data flows?
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# What are data flows in Azure Synapse Analytics?
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Data flows are visually designed data transformations in Azure Synapse Analytics. Data flows allow data engineers to develop data transformation logic without writing code. The resulting data flows are executed as activities within Azure Synapse Analytics pipelines that use scaled-out Apache Spark clusters. Data flow activities can be operationalized using existing Azure Synapse Analytics scheduling, control, flow, and monitoring capabilities.
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Data flows provide an entirely visual experience with no coding required. Your data flows run on Synapse-managed execution clusters for scaled-out data processing. Azure Synapse Analytics handles all the code translation, path optimization, and execution of your data flow jobs.
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## Getting started
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## Get started
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Data flows are created from the Develop pane in Synapse studio. To create a data flow, select the plus sign next to **Develop**, and then select **Data Flow**.
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## Authoring data flows
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Data flow has a unique authoring canvas designed to make building transformation logic easy. The data flow canvas is separated into three parts: the top bar, the graph, and the configuration panel.
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Data flow has a unique authoring canvas designed to make building transformation logic easy. The data flow canvas is separated into three parts: the top bar, the graph, and the configuration panel.
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![Screenshot shows the data flow canvas with top bar, graph, and configuration panel labeled.](media/data-flow/canvas-1.png)
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The Azure Synapse Analytics team has created a [performance tuning guide](../data-factory/concepts-data-flow-performance.md?context=/azure/synapse-analytics/context/context) to help you optimize the execution time of your data flows after building your business logic.
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## Next steps
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## Related content
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* Learn how to create a [source transformation](../data-factory/data-flow-source.md?context=/azure/synapse-analytics/context/context).
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* Learn how to build your data flows in [debug mode](../data-factory/concepts-data-flow-debug-mode.md?context=/azure/synapse-analytics/context/context).

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