Handling Large Glossary Terms

docs/glossary/business-glossary.md

@@ -12,7 +12,19 @@ import FeatureAvailability from '@site/src/components/FeatureAvailability';
 
 When working in complex data ecosystems, it is very useful to organize data assets using a shared vocabulary. The Business Glossary feature in DataHub helps you do this, by providing a framework for defining a standardized set of data concepts and then associating them with the physical assets that exist within your data ecosystem.
 
-Within this document, we'll introduce the core concepts comprising DataHub's Business Glossary feature and show you how to put it to work in your organization. 
+Within this document, we'll introduce the core concepts comprising DataHub's Business Glossary feature and show you how to put it to work in your organization.
+
+## Handling Large Glossary Terms
+
+Managing a large number of glossary terms in DataHub can impact performance. Here are some best practices and considerations:
+
+- **Search Performance**: Optimize search operations by tuning index settings and using powerful hardware to handle large datasets efficiently.
+- **UI Performance**: Implement pagination or lazy loading to improve UI rendering when dealing with large lists of glossary terms.
+- **Database Optimization**: Configure the database to efficiently manage large volumes of data, ensuring it can handle increased load.
+- **Resource Scaling**: Scale up resources such as CPU, memory, and database capacity to accommodate a large number of glossary terms.
+- **Monitoring and Maintenance**: Regularly monitor performance and conduct maintenance to identify and address potential bottlenecks.
+
+These strategies will help maintain optimal performance of your DataHub instance when managing large volumes of glossary terms. 
 
 ### Terms & Term Groups