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Author: Matt Basile - Senior Product Manager
More data means more insights, more analytics, and more context for AI, but also more concerns. When your monthly storage bill exceeds expectations, what’s your next step? How do you identify where that excess data is stored, and what actions you can take?
The storage report summarizes storage sizes across all items
Previously, getting an item-level storage breakdown could be challenging. The Capacity Metrics app shows the total amount of data in your workspace, while tools like Azure Storage Explorer support manual investigation but can't aggregate system data.
Item-size reporting introduces a dedicated page in your workspace's settings. From this page, you and other workspace admins have the following capabilities:
OneLake calculates the item sizes whenever you initiate a report refresh, with runtime and CU consumption varying with workspace size and other characteristics. To minimize repeated scans from multiple refreshes, OneLake also caches the report results. Once the report is aggregated, any workspace admin can view the results without initiating another refresh.
Although you can achieve similar functionality by manually scanning and aggregating the data yourself, item-size reporting helps to streamline storage analysis and provide a more consistent view of your data. Because data is automatically aggregated to the item, OneLake can scan the entire item, including hidden system folders used by workloads to store metadata, temporary files, or other workload-specific data. With item-size reporting, you can know at a glance where your data stored, helping you make informed decisions to manage your data.
To generate your first OneLake storage report:
With item-level reporting in OneLake, you can feel confident managing your items and growing your data estate. To learn more, check out Get the size of OneLake items.
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