Unify data engineering, analytics, and machine learning on the Databricks Lakehouse Platform with BI-Lab Solutions.
The Databricks Lakehouse combines the best of data lakes and data warehouses into a single, open platform built on Delta Lake.
ACID transactions, schema enforcement, and time travel on your data lake for reliable and auditable data pipelines.
Unified governance for all data and AI assets with fine-grained access control, lineage, and discovery.
Next-generation query engine that accelerates SQL and Spark workloads for dramatically faster analytics.
Build production-grade data pipelines and run interactive analytics in a collaborative notebook environment.
Declarative ETL framework that simplifies pipeline development with built-in quality controls and monitoring.
Serverless SQL warehouses optimised for BI workloads with native connectors to Power BI, Tableau, and Looker.
Manage the full ML lifecycle from experimentation to production with MLflow, natively integrated into Databricks.
Log experiments, parameters, and metrics to compare model runs and reproduce results with confidence.
Deploy models as real-time REST endpoints or batch inference jobs directly from the Databricks platform.