A well-designed EDW provides the governed, performant analytical foundation that reporting, dashboards, and AI rely on. We implement and optimize cloud-native data warehouses that scale cost-effectively.
Snowflake architecture, virtual warehouse sizing, clustering keys, materialized views, and data sharing — with FinOps governance to control costs.
BigQuery dataset design, partitioned and clustered table optimization, BI Engine, and Omni integration for multi-cloud analytics.
Redshift cluster sizing, distribution key design, sort key selection, WLM queues, and Spectrum for external table queries.
Star schema and snowflake schema using Kimball methodology — conformed dimensions, slowly changing dimensions, and fact table grain definition.
Query profiling, execution plan analysis, statistics management, and incremental materialization reducing EDW query runtimes from minutes to seconds.
Column-level security, dynamic data masking, row access policies, and encryption ensuring sensitive warehouse data is protected and compliant.
Our specialists will design a tailored solution for your organization.