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articles/sentinel/graph/sentinel-lake-overview.md

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@@ -44,7 +44,7 @@ The Microsoft Sentinel data lake technical architecture includes the following k
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The Microsoft Sentinel data lake is designed with two distinct storage tiers to optimize cost and performance:
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+ Analytics tier: The existing Microsoft Sentinel data tier enabling advanced querying, visualization, and alerting capabilities to help you proactively identify and resolve issues across your infrastructure and applications.
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+ Data lake tier: A centralized security data lake offering long-term data storage for querying and python-based advanced analytics. The data lake tier is designed for cost-effective storage of large volumes of security data, enabling you to retain data for up to 12 years. For more information on data tiers and retention, see [Manage data tiers and retention in Microsoft Defender Portal (preview)](https://aka.ms/manage-data-defender-portal-overview).
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+ Data lake tier: A centralized security data lake offering long-term data storage for querying and python-based advanced analytics. The data lake tier is designed for cost-effective storage of large volumes of security data, enabling you to retain data for up to 12 years. For more information on data tiers and retention, see [Manage data tiers and retention in Microsoft Defender portal (preview)](https://aka.ms/manage-data-defender-portal-overview).
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### Integration
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+ [Jupyter notebooks in the Microsoft Sentinel data lake (preview)](https://aka.ms/notebooks-overview).
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+ [KQL and the Microsoft Sentinel data lake (preview)](https://aka.ms/kql-overview)
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+ [Permissions for the Microsoft Sentinel data lake (preview)](https://aka.ms/sentinel-data-lake-roles)
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+ [Manage data tiers and retention in Microsoft Defender Portal (preview)](https://aka.ms/manage-data-defender-portal-overview)
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+ [Manage data tiers and retention in Microsoft Defender Portal (preview)](https://aka.ms/manage-data-defender-portal-overview)

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