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World Congress 2026 Europe • Jul 10, 2026 • Session details

Dynamic Entities in .NET: Building Low-Code Systems on Top of Entity Framework Core

Halil İbrahim Kalkan

Stop sacrificing query performance to the Entity-Attribute-Value trap. Discover how to build dynamic, performant low-code systems entirely on EF Core using hybrid JSON mappings and runtime rebuilds.

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#1 about 5 min

The demand for dynamic behavior in business data models

Recurring business requirements drive the need for runtime schema changes and rapid low-code adaptations.

#2 about 4 min

Defining low-code systems and determining their ideal use cases

Data-driven architectures excel when building rapidly evolving internal tools using straightforward crud mechanics.

#3 about 5 min

Designing the architecture and storing dynamic data models

Storing application behavior and entity definitions within JSON structures supports flexible runtime schema generation.

#4 about 4 min

Comparing entity-attribute-value and mixed database architectural approaches

Combining physical tables with JSON fields overcomes the severe performance limitations found in standard EAV models.

#5 about 4 min

Mapping multiple runtime tables using shared type entities

Shared type entities map varying physical database properties securely using a single generic class definition.

#6 about 2 min

Initializing dynamic object metadata using materialization interceptors

Materialization interceptors enable developers to pre-load missing configurations precisely upon retrieving fresh entity instances.

#7 about 2 min

Generating functional runtime database columns using indexer properties

Indexer properties inject unexpected data column names directly into query definitions via internal entity collections.

#8 about 1 min

Handling flexible data constraints natively with json columns

Native JSON column mapping prevents string serialization limitations when persisting highly flexible object schemas.

#9 about 2 min

Invalidating cached models to process ongoing runtime schema changes

Cache invalidation interfaces forcefully reconstruct application caching pipelines when detecting runtime schema configuration increments.

#10 about 2 min

Executing unscripted database migrations at runtime through internal apis

Overriding design-time migration logic exposes internal hooks to enact real-time database schema transformations.

#11 about 3 min

Integrating dynamic low-code structures with standard application models

Hybrid architectures bridge hardcoded C# class definitions with customizable and volatile user-defined runtime configurations.

#12 about 2 min

Maintaining backward compatibility during legacy record modifications

Declaring robust default values effectively shields materialization pipelines from un-migrated missing properties.

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