Data Lake Services
Enterprise data lake services for analytics and AI workloads with governance and cost controls.
Ingest
Batch, streaming, schema enforcement, and partitioning strategy.
Transform
Cleaning, enrichment, feature prep, and pipeline automation.
Govern
Catalog, lineage, quality, masking, and access policies.
Query
SQL, Spark, serverless, and governed self-service.
Cost
Storage tiers, compute controls, and lifecycle policies.
Outcome
Faster insight, model-ready data, and measurable reliability.