A naukri.com initiative
Cloudblog
1w
225
Image Credit: Cloudblog
What's new with BigQuery — the autonomous data-to-AI platform
- BigQuery is leading the way as an autonomous data-to-AI platform by infusing AI, handling unstructured data, and embedding governance.
- Gemini in BigQuery offers AI-assisted capabilities for data discovery, preparation, analysis, with significant growth in code assist usage.
- New features in Gemini assist with data preparation, data canvas visualization, coding assistance for DataFrames, and improving data and AI governance.
- BigQuery supports an autonomous data foundation, unified analytics for structured and unstructured data, and native integration with Vertex AI.
- Recent innovations in BigQuery include support for Iceberg tables, multimodal capabilities for Python users, enhanced BigQuery ML capabilities, and faster vector search.
- New features like TimesFM model for time-series forecasting, contribution analysis, and governance enhancements help organizations drive data-driven decisions effectively.
- The article also mentions improvements in disaster recovery, workload management, query performance optimizations, and the introduction of new analytics capabilities in BigQuery.
- BigQuery's partner ecosystem contributes significantly through AI integrations and solutions, enabling expanded functionality and improved operational control.
- BigQuery is evolving into an autonomous data-to-AI platform, focusing on lowering barriers to AI-powered analytics and offering unified commercials for easy consumption.
- With a commitment to open standards and innovative features, BigQuery aims to transform organizations by providing advanced data-to-AI capabilities.
Read Full Article
13 Likes
For uninterrupted reading, download the app