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Google boosts AI and agentic features across BigQuery and AlloyDB
- Google Cloud introduces new data analytics capabilities focused on unstructured data for AI model training.
- Enhancements include AI agents, autonomous data foundation, PostgreSQL-compatible AlloyDB, and Oracle DBMS support on Google Cloud.
- Specialized agents in BigQuery and Looker assist in data engineering, science, and user experience tasks.
- Features like conversational queries, Colab's data science agent, and Looker's AI-driven functions provide advanced analytics capabilities.
- BigQuery Knowledge Engine uses large language models for metadata generation and semantic search.
- BigQuery Notebook improvements streamline data science tasks with intelligent SQL cells and collaborative features.
- New BigQuery AI Query Engine integrates AI models for processing unstructured data like images.
- Expanded integrations include support for Apache Kafka, Apache Spark, and continuous queries for streaming data analysis.
- AlloyDB gains agentic search capability, natural language support, and enhanced SQL functionality.
- Google Cloud adds support for Oracle databases and introduces a Database Migration Service for SQL Server-to-PostgreSQL migrations.
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