BigQuery
Export semantic datasets and replicated source tables into Google BigQuery with backend-owned table and schema planning.
Send governed Metric Hive datasets into warehouses, lakehouses, object storage, spreadsheets, BI tools, and built-in Metric Hive analysis surfaces.
Export semantic datasets and replicated source tables into Google BigQuery with backend-owned table and schema planning.
Load governed exports into Snowflake databases and schemas using key-pair credentials and validated write modes.
Send period-safe semantic exports to Redshift tables through staged Parquet loading and customer IAM role access.
Stage semantic exports into Databricks SQL and Delta workflows with service-principal authentication.
Export modeled datasets into OneLake and Fabric Lakehouse tables through service-principal credentials.
Replace selected spreadsheet ranges with semantic exports for recurring team reporting and lightweight analysis.
Use spreadsheet-ready exported datasets in Excel workflows when teams need offline review or workbook handoff.
Expose saved Metric Hive semantic exports to Looker Studio through the Metric Hive connector surface.
Push backend-compiled semantic exports into Power BI datasets with service-principal authentication.
Write JSON Lines exports to customer-owned S3 prefixes using cross-account IAM role access.
Deliver JSON Lines exports to GCS buckets with destination credentials stored outside export configs.
Export JSON Lines datasets to Azure Blob Storage or ADLS Gen2 with Entra ID service-principal auth.
Use built-in dashboards powered by the same governed semantic layer used by exports.
Inspect fields, validate data, and explore modeled datasets inside Metric Hive before sending them downstream.