#ManagedTables
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📂 Managed vs. External Tables in Microsoft Fabric
Q: What’s the difference between managed and external tables?
✅ A:
Managed tables: Both the table definition and data files are fully managed by the Spark runtime for the Fabric Lakehouse.
External tables: Only the table definition is managed, while the data itself resides in an external file storage location.
🧠 Use managed tables for simplicity and tight Fabric integration, and external tables when referencing data stored elsewhere (e.g., OneLake, ADLS).
💬 Which one do you use more in your projects—and why?
#MicrosoftFabric#FabricLakehouse#ApacheSpark#ManagedTables#ExternalTables#DataEngineering#BigData#OneLake#DataPlatform#DataStorage#SparkSQL#FabricCommunity#DataArchitecture
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