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Merge pull request #6457 from MicrosoftDocs/repo_sync_working_branch
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powerapps-docs/maker/data-platform/azure-synapse-link-advanced-configuration.md

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ms.custom: ""
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ms.date: 07/07/2021
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ms.reviewer: "Mattp123"
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ms.suite: ""
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ms.tgt_pltfrm: ""
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ms.topic: "conceptual"
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## Data partitioning
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When you Dataverse table data to Azure data lake storage using Azure Synapse Link, the tables are partitioned (instead of a single file) in the lake based on the `createdOn` value on each row in the source. The default partition strategy is by month and data is partitioned in Azure data lake on a monthly basis.
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When you write Dataverse table data to Azure data lake storage using Azure Synapse Link, the tables are partitioned (instead of a single file) in the lake based on the `createdOn` value on each row in the source. The default partition strategy is by month and data is partitioned in Azure data lake on a monthly basis.
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Based on the Dataverse table volume and data distribution, you can choose to partition your data by year. With this option, when Dataverse table data is written to the Azure data lake, it will be partitioned on a yearly basis based on the `createdOn` value on each row in the source. For tables without the `createdOn` column, the rows of data are partitioned into a new file every five million records. This is a per table setting and is available as a checkbox under **Advanced** > **Show advanced configuration settings**.
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powerapps-docs/maker/data-platform/azure-synapse-link-synapse.md

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[!INCLUDE [cc-beta-prerelease-disclaimer](../../includes/cc-beta-prerelease-disclaimer.md)]
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After creating an Azure Synapse Link, two versions of the table data will be synchronized in Azure Synapse Analytics and/or Azure Data Lake Storage Gen2 in your Azure subscription to ensure you can reliably consume updated data in the lake at any given time:
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After creating an Azure Synapse Link, two versions of the table data will be synchronized in Azure Synapse Analytics and/or Azure Data Lake Storage Gen2 in your Azure subscription by default to ensure you can reliably consume updated data in the lake at any given time:
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- Near real-time data: Provides a copy of data synchronized from Dataverse via Synapse Link in an efficient manner by detecting what data has changed since it was initially extracted or last synchronized.
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- Snapshot data: Provides a read-only copy of near real-time data that is updated at regular intervals (in this case every hour). 

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