How to simplify unstructured data analytics using BigQuery ML and Vertex AI
How BigQuery’s ML inference engine can be used to run inferences against unstructured data in BigQuery using Vertex AI pre-trained models.
How BigQuery’s ML inference engine can be used to run inferences against unstructured data in BigQuery using Vertex AI pre-trained models.
Step-by-step instructions for building an image classifier with ResNet, Cloud Storage and BQML.
Bulk data exports in the Google Search console let you export search data to BigQuery and run complex queries and create custom reports on it.
BigQuery object tables offer a structured record interface for unstructured data, so you can process and manage it securely and programmatically.
The BigQuery partitioning and clustering recommender analyzes workloads and tables and identifies potential cost-optimization opportunities.
In partnership with Tumult Labs, BigQuery differential privacy can help to anonymize data, and will integrate with BigQuery data clean rooms.
Use remote functions to handle DLP, unstructured data analysis and security or compliance constraints inside your BigQuery dataset.
ThoughtSpot is helping customers reimagine how they use data, analytics, and AI with Google Cloud tools like BigQuery and Looker.