Cloud-Plattformen · 07.08.2026, 17:25 UTC
Zero-code, low-cost data ingestion: New BigQuery DTS capabilities
| Schweregrad | info |
|---|---|
| Kategorie | Cloud-Plattformen |
| Quelle | Google Cloud Blog ↗ |
| Veröffentlicht | 07.08.2026 UTC |
Sicherheitsmeldung mit Schweregrad noch nicht bewertet. Technische Details im Tab „Originaltext“; empfohlene Schritte in der Checkliste.
In a fast-paced digital economy, data is your most critical engine. Yet, many enterprises find themselves trapped in a costly paradox, spending over 100 hours a week building and fixing fragile, in-house ETL pipelines or wrestling with unpredictable third-party tools. Trusted by thousands of customers every single day, BigQuery Data Transfer Service (DTS) eliminates this engineering burden. As a fully managed, zero-code data movement solution, BigQuery DTS automates data ingestion into BigQuery allowing your teams to transition from pipeline maintenance to strategic data science in minutes. Expanding the ecosystem: New connectors and capabilities We are rapidly expanding our integration landscape to eliminate data silos across databases, ads and marketing platforms. Here are the latest additions and enhancements Open Lakehouse ingestion
Direct ingestion into Apache Iceberg managed tables (Preview): You can now ingest data from common sources such as Google Cloud Storage, Amazon S3, and Azure Blob Storage directly into Iceberg managed tables. This enables you to maintain full multi-cloud storage cross-compatibility with other query engines while leveraging BigQuery's top-tier performance tuning.
Next-gen agentic architecture
Fully managed remote Model Context Protocol (MCP) Server (Preview): This allows your developers to connect their AI application and agents to DTS allowing them to programmatically discover data sources and configure/execute transfers on the user's behalf.
Enterprise and relational databases (supports both full or incremental transfers)
Microsoft …