Machine learning (ML) enables organizations to extract more value from their data than ever before. Companies who successfully deploy ML models into production are able to leverage that data value at a faster pace than ever before. But deploying ML models requires a number of key steps, each fraught with challenges.
Seamless and low-latency replication from operational databases, including PostgreSQL, directly to BigQuery, enabling near real-time insights.
BigQuery federated queries gets SQL pushdown, private IP access, priority queues for Spanner federation, and Spanner-to-BigQuery JSON type mapping.
