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articles/storage/blobs/data-lake-storage-namespace.md

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@@ -38,7 +38,7 @@ In general, we recommend that you turn on a hierarchical namespace for storage w
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The reasons for enabling a hierarchical namespace are determined by a TCO analysis. Generally speaking, improvements in workload latency due to storage acceleration will require compute resources for less time. Latency for many workloads may be improved due to atomic directory manipulation that is enabled by a hierarchical namespace. In many workloads, the compute resource represents > 85% of the total cost and so even a modest reduction in workload latency equates to a significant amount of TCO savings. Even in cases where enabling a hierarchical namespace increases storage costs, the TCO is still lowered due to reduced compute costs.
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To analyze differences in data storage prices, transaction prices, and storage capacities between accounts that have a flat hierarchical namespace versus a hierarchical namespace, see [Azure Data Lake Storage Gen2 pricing](https://azure.microsoft.com/pricing/details/storage/data-lake/).
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To analyze differences in data storage prices, transaction prices, and storage capacity reservation pricing between accounts that have a flat hierarchical namespace versus a hierarchical namespace, see [Azure Data Lake Storage Gen2 pricing](https://azure.microsoft.com/pricing/details/storage/data-lake/).
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## Next steps
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