The Google Cloud BigQuery integration enables users to conduct deep graph analysis of connected data, in-memory within Neo4j, and return results to BigQuery for use in downstream models and analysis.

In 2025, AI-driven data analytics is transforming industries by enabling real-time decision-making, predictive modeling, and ...

MOUNTAIN VIEW, Calif., May 01, 2025--Treasure Data, the Intelligent Customer Data Platform (CDP) built for enterprise scale and powered by AI, today announced that it has successfully achieved the ...

Real-world applications of BigQuery ML in Google Ads. By applying machine learning to your Google Ads data, you can uncover trends, refine targeting, and maximize ROI with greater precision.

The open lakehouse integrates with Vertex AI, Google Cloud's fully managed, unified AI development platform, to fuel Google's AI platform. Governed, cataloged data provides trusted input for training ...

SPONSORED POST: When you have got disparate data flowing in from every corner of your business, making sense of it all and making it work harder for you isn’t always easy. That’s where Google Cloud ...

With Datadog’s new monitoring capabilities, Google Cloud customers can more granularly track usage, attribute costs to users and teams, and ensure their BigQuery data is up to date for accurate ...

EaseMyTrip co-founder Prashant Pitti highlighted Google Maps' newly launched “Road Management Insight” tool that shares ...

The Google Cloud Ready - BigQuery designation provides Treasure Data with more opportunities to collaborate with Google Cloud’s partner engineering and BigQuery teams to develop joint roadmaps.

Additionally, Treasure Data's Live Connect includes a zero-copy integration with BigQuery, allowing customers to access and use BigQuery data. "Our collaboration with Google Cloud continues to unlock ...