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Automated data catalog that discovers, profiles, and documents all data assets across the organization. Business glossary, data lineage, quality scoring, and self-service data discovery with natural language search.
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Estimated timeline for Enterprise Data Catalog & Discovery β adapt to your team size and complexity.
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Migrate legacy data warehouses to modern cloud-native platforms. Snowflake, BigQuery, Redshift, and Databricks specialization. Full ETL/ELT rebuild.
Build scalable data lakes with Delta Lake, Apache Iceberg, or Apache Hudi. Ingest, catalog, govern, and serve data for analytics and ML at any scale.
Build real-time analytics pipelines with event streaming (Kafka, Kinesis), real-time dashboards, and live alerting. Track user behavior, system metrics, and business KPIs with sub-second latency.
Implement data mesh architecture: domain-owned data products, federated governance, self-service infrastructure, and automated discoverability. Decentralize data ownership.
End-to-end ML model lifecycle management: experiment tracking, model registry, CI/CD for ML, A/B testing, monitoring, and automated retraining.
Sub-second analytics on streaming data with pre-aggregation, materialized views, and real-time dashboards. ClickHouse, Druid, or Pinot managed service.
Enforce data contracts between producers and consumers. Schema registry, breaking change detection, compatibility modes, and automated documentation.
Push data from warehouse to operational systems (CRM, ad platforms, support tools). Activate warehouse data in tools your teams already use.
Let's discuss how Enterprise Data Catalog & Discovery can transform your business. 364 E Main St STE 1008, Middletown, DE 19709 Β· +1 302 464 0950