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Databricks Unified Analytics
Databricks combines data engineering, analytics, and AI on a single platform built for speed and collaboration. We enable unified, lakehouse-driven insights and machine learning at scale.
Data Platform & MLOps
Databricks accelerates everything from ETL to ML with a collaborative, cloud-native platform powered by Apache Spark and Delta Lake. We help teams break down silos, build reliable pipelines, and unify batch, stream, and AI workflows. This is the backbone for data-first digital strategy.
What we can do with it:
Build Delta Lake–based architecture for unified data management.
Enable collaborative notebooks for data science and analytics.
Design real-time ETL pipelines with Structured Streaming.
Integrate MLflow for full model lifecycle tracking.
Scale workloads across cloud providers and clusters.
Implement feature stores for ML reuse.
Manage governance with Unity Catalog and ACLs.
Optimize compute costs with auto-scaling and job scheduling.
Visualize workflows with job orchestration and lineage tools.
Train AI models at scale and deploy in production via endpoints.