Systems | Development | Analytics | API | Testing

New geospatial datasets in BigQuery unlock powerful insights with Google Maps Platform and Earth Engine data.

BigQuery data preparation is generally available and integrates with BigQuery pipelines and BigQuery repositories and Git.

Arpeely uses Google Cloud AI, multimodality and BigQuery to deliver highly relevant ads that optimize for long-term value.

New repositories in BigQuery Studio help data teams collaborate on code stored in Git for better version control.

Datastream, a change data capture (CDC) service, connects to Salesforce, captures changes, and delivers them to BigQuery, Cloud Storage, etc.

Yassir decided to consolidate our data infrastructure with Google Cloud to bring all its storage and analytics functions into one place.

You can now run any open-source LLM from Vertex AI Model Garden or Hugging Face with BigQuery Machine Learning.

BigQuery metastore is a fully managed, unified metadata service that provides processing engine interoperability while enabling consistent data governance.

Learn about the challenges of natural language to SQL (NL2SQL), and how to implement it on Google Cloud with BigQuery and Gemini.

Learn how BigQuery and Document AI Layout Parser can help with document preprocessing when building retrieval-augmented generation (RAG) pipelines.