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treeverse · Sep 20, 2023 · 74be489 · 74be489
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diff --git a/docs/understand/glossary.md b/docs/understand/glossary.md
@@ -36,7 +36,7 @@ It is sometimes referred as multi-table transactions. That is, lakeFS offers tra
 <!---Learn more about cross-collection consistency here (link to CCC blog) -->
 
 ## Data Lake Governance ###
-The goal of data lake governance is to apply policies, standards and processes on the data. This allows creating high-quality data and ensuring that it’s used appropriately across the organization. Data lake governance improves the data quality and increases data usage for business decision-making, leading to operational improvements, better-informed business strategies, and stronger financial performance. lakeFS Cloud offers advanced data lake management features such as: [Role-Based Access Control]({% link reference/security/rbac.md %}), [Branch Aware Managed Garbage Collection]({% link howto/garbage-collection/committed.md %}), [Data Lineage and Audit log]({% link reference/auditing.md %}).
+The goal of data lake governance is to apply policies, standards and processes on the data. This allows creating high-quality data and ensuring that it’s used appropriately across the organization. Data lake governance improves the data quality and increases data usage for business decision-making, leading to operational improvements, better-informed business strategies, and stronger financial performance. lakeFS Cloud offers advanced data lake management features such as: [Role-Based Access Control]({% link reference/security/rbac.md %}), [Branch Aware Managed Garbage Collection]({% link howto/garbage-collection/gc.md %}), [Data Lineage and Audit log]({% link reference/auditing.md %}).
 
 ## Data Lifecycle Management
 In data-intensive applications, data should be managed through its entire lifecycle similar to how teams manage code. By doing so, we could leverage the best practices and tools from application lifecycle management (like CI/CD operations) and apply them to data. lakeFS offers data lifecycle management via [isolated data development environments]({% link understand/use_cases/etl_testing.md %}) instead of shared buckets.