Descubre Habilidades de Claude para database management. Explora 25 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Guides the conversion of memory-intensive Trino queries to Hive syntax and execution patterns to resolve resource constraints and performance issues.
Manages Qdrant vector database deployments on Railway for high-performance AI applications and semantic search systems.
Manages PostgreSQL databases on Railway with support for ORM migrations, connection pooling, and automated backups.
Provides expert guidance on using the Trino command-line interface to interactively query and explore Treasure Data environments.
Manages advanced AgentDB features for distributed AI systems, including sub-millisecond QUIC synchronization, hybrid search, and multi-database orchestration.
Simplifies data transformation and analytics engineering by providing standardized dbt patterns, model structures, and testing frameworks.
Optimizes Frappe Framework applications by generating efficient database queries, implementing caching strategies, and managing database indexes.
Implements high-performance similarity search and vector retrieval patterns for AI-driven applications.
Analyzes and optimizes database queries for PostgreSQL, MySQL, and MongoDB using EXPLAIN plans and automated index recommendations.
Migrates patient and practitioner data to HAPI FHIR storage using a hybrid architecture for healthcare applications.
Optimizes SQL database performance through advanced indexing strategies, execution plan analysis, and query refactoring.
Automates and guides the Drizzle Kit database migration workflow for the Hyper Forge platform.
Generates safe, reversible database migrations and schema transformations for multiple ORMs and raw SQL.
Simplifies data persistence by replacing traditional repository patterns with self-aware, self-persisting entities.
Optimizes data entity navigation and prevents N+1 query issues through efficient batch loading and relationship patterns.
Designs optimized PostgreSQL schemas using industry best practices for performance, data integrity, and scalability.
Optimizes database performance through advanced indexing strategies, query plan analysis, and efficient SQL design patterns.
Designs robust Microsoft Dataverse table schemas and data models following enterprise best practices.
Simplifies retrieving and filtering data from Microsoft Dataverse using optimized OData and SQL syntax.
Implements advanced data transformation patterns using SQLMesh for efficient incremental processing and column-level lineage.
Simplifies interaction with the Microsoft PowerPlatform Dataverse Client SDK for building robust Python integrations.
Designs optimized database schemas, Phinx-based migrations, and multi-tenant architectures specifically for PHP CakePHP applications.
Optimizes AgentDB vector database performance through quantization, HNSW indexing, and efficient batch operations.
Implements high-performance semantic vector search for intelligent document retrieval and context-aware RAG systems.
Architects scalable database schemas, optimizes SQL queries, and manages complex data migrations using industry best practices.
Streamlines SAP HANA database development and administration by leveraging the hana-cli tool for object inspection, HDI management, and metadata conversion.
Streamlines SAP ABAP development with production-ready patterns for ABAP SQL, internal tables, RAP, and ABAP Cloud.
Enforces robust multi-tenant data isolation by auditing PostgreSQL Row Level Security policies and preventing common bypass vulnerabilities.
Streamlines SAP HANA database programming with expert SQLScript syntax patterns, performance optimization, and AMDP integration.
Accelerates SAP Datasphere development by providing expert guidance on data modeling, ETL orchestration, and BTP integration.
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