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Update 04-how-databend-share-data-works.md
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docs/en/guides/81-how-databend-works/04-how-databend-share-data-works.md

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@@ -65,7 +65,7 @@ SELECT order_date, SUM(profit) FROM finance_view GROUP BY order_date;
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**Real-Time Updates**: When source data changes, all attached tables see it instantly
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```sql
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INSERT INTO company_sales VALUES (1001, 501, 'Laptop', 1299.99, 299.99, '[email protected]', '2024-01-20');
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INSERT INTO company_sales VALUES (1001, 501, 'Laptop', 1299.99, 299.99, '[email protected]', '2025-01-20');
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SELECT COUNT(*) FROM marketing_view WHERE order_date = '2024-01-20'; -- Returns: 1
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```
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Multiple Databend clusters can execute this flow simultaneously without coordination - true compute-storage separation in action.
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ATTACH TABLE represents a fundamental shift: **from copying data for each use case to one copy with many views**. Whether in cloud or on-premise environments, Databend's architecture enables powerful, efficient data sharing while maintaining enterprise-grade consistency and security.
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ATTACH TABLE represents a fundamental shift: **from copying data for each use case to one copy with many views**. Whether in cloud or on-premise environments, Databend's architecture enables powerful, efficient data sharing while maintaining enterprise-grade consistency and security.

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