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When working with large-scale, hybrid data architectures, balancing performance and cost is key. Microsoft Fabric offers a powerful feature that helps you do just that…Indexed External Tables.
Tip: Use Indexed External Tables for Faster Queries
Instead of loading all your external data into Fabric, you can query it directly from its original location—like Azure Data Lake Storage (ADLS) or OneLake—using External Tables with indexing. This gives you fast, seamless access without the overhead of constant data movement.
Trick: Keep Data Where It Lives, Query Like It’s Local
Skip the time and expense of ingesting every dataset. By indexing your External Tables, Fabric can optimize query performance on remote storage. This is especially effective in hybrid storage setups, where only some of your data resides within Fabric while the rest remains in cloud lakes or enterprise storage.
Key Benefits
- Faster Query Execution on remote data
- Reduced Data Movement Costs
- Simplified Hybrid Data Architectures
- Seamless Integration with ADLS & OneLake
Whether you’re running exploratory analysis, building reports, or training AI models, Indexed External Tables provide the flexibility and speed your data strategy demands—without compromising cost efficiency.
