Databricks Lakeflow
Framework declarativo de pipelines de Databricks para ingesta, transformación y validación de datos en tiempo real dentro de la plataforma.
Casos de uso2
Empresas2
Industrias3
Casos de IA con Databricks Lakeflow
1
How GoGuardian Uses Databricks to Cut ML Costs 90% While Protecting K–12 Students
GoGuardian · Operations
90%
Operational cost savings with Delphi model
90%Operational cost savings with Delphi model
2
How SSE Airtricity Drives 90% Customer Engagement with AI Energy Insights
SSE Airtricity · Customer Service
90%
Customer engagement with personalized insights
90%Customer engagement with personalized insights
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Modelos usados con
Claude Sonnet 4.5
Anthropic's multimodal model with a 1M-token context for coding, analysis, and document tasks.
Usado frecuentemente con
Databricks Unity Catalog
Unified governance layer for managing access, lineage, and quality of data and AI assets across a lakehouse.
Databricks SQL
Serverless SQL analytics engine built on the Databricks Lakehouse, delivering high-performance queries with elastic scaling and open data formats.
dbt
SQL-based data transformation tool that builds and tests data models in warehouses via version-controlled code.
MLflow
Open-source ML lifecycle management platform for experiment tracking, model versioning, and reproducible deployment, developed and maintained by Databricks.
Databricks Model Serving
Serverless model deployment service within the Databricks platform that enables real-time and batch inference at scale without manual infrastructure management.
Databricks Delta Lake
Open-source storage layer that brings ACID transactions, scalable metadata handling, and unified streaming and batch data processing to data lakes.
Databricks AI Model Serving
Managed endpoint service for deploying and serving ML models at scale within the Databricks platform.
Databricks Apps
Lightweight deployment framework for building and hosting data apps and dashboards directly on a lakehouse.
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