BigQuery supports multimodal embedding generation via Vertex AI models, and for structured data with PCA, Autoencoder or Matrix Factorization models.

You can now query Delta Lake tables stored in Cloud Storage or Amazon Web Services S3 directly from BigQuery, without exporting or copying the data.

Calculating log analytics ROI is often complicated. For many teams, this technology can be a cost center. Depending on your platform, the cost of a log management solution can quickly add up. For example, many organizations use solutions like the ELK stack because the initial startup costs are low. Yet, over time, costs can creep up for many reasons, including the volume of data collected and ingested per day, required retention periods, and the associated personnel needed to manage the deployment.

In February 2024, approximately 89,000 mobile apps were released via the Apple App and Google Play stores—37,000 and 52,000, respectively. That’s about 3,100 mobile apps per day, and that’s not even counting the apps released via other platforms. App consumers know they have options, and if your app isn’t cutting it for them, they can simply delete it and find a better one—which means you can’t afford to scrimp on app quality assurance.

BigQuery data canvas improves data analytics with a natural language-driven experience for data discovery, preparation, querying, and visualization.

Duet AI in BigQuery is now Gemini in BigQuery and includes new AI-powered assistive features to enhance productivity and optimize costs.

We unified key data Google Cloud analytics capabilities under BigQuery, which becomes a single, unified, AI-ready data analytics platform.

With Gemini 1.0 Pro Vision in BigQuery via Vertex AI, you can analyze images and videos by combining them with your own text prompts.