Gemini and OSS text embeddings are now in BigQuery ML
In addition to its existing text embedding models, you can now use both Google’s Gemini and open-source (OSS) models directly within BigQuery.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
BigQuery under the hood: The power of the Column Metadata index aka CMETA
BigQuery’s Column Metadata (CMETA) index delivers superior scalability and performance, with no maintenance overhead, and may reduce slot usage.
Introducing BigQuery soft failover: Greater control for disaster recovery testing
Minimize data loss during planned DR activities and ensure business continuity with soft failover in BigQuery Managed Disaster Recovery.
Enhancing BigQuery geospatial with Earth Engine raster analytics and map visualization
BigQuery now integrates Earth Engine for geospatial analytics, making it easy to join structured data with satellite imagery and visualize insights.
Intelligent code conversion: Databricks Spark SQL to BigQuery SQL via Gemini
Automate your Databricks to BigQuery migration. Learn how to use Gemini to translate complex SQL code accurately and save hours of manual work.
Visualizing BigQuery geospatial data in Colab
Geospatial data is a powerful tool for gaining insights into everything from customer behavior to environmental patterns. BigQuery allows you to store and analyze this location data using standard SQL, and bringing that data into a Colab notebook gives you the flexibility to combine BigQuery's power with popular Python visualization libraries. This approach is perfect for ad-hoc or iterative analysis. In this video, we'll give you an overview of these capabilities and walk through a demo of how you can analyze and visualize your geospatial data.
BigQuery under the hood: Short query optimizations in the advanced runtime
BigQuery short query optimizations accelerate small queries by executing them as a single stage. It can significantly improve slot time and latency.
Zero-shot forecasting in BigQuery with the TimesFM foundation model
BigQuery ML TimesFM model is now in preview, and forecasts datasets through the use of generative AI.
Beyond GROUP BY: Introducing advanced aggregation functions in BigQuery
BigQuery has three new categories of advanced aggregation functions: group by extensions, user-defined and approximate aggregate functions.
Introducing BigQuery data engineering agents
BigQuery Data Engineering Agents are here to help data analysts and engineers build faster, and focus more on creative problem-solving. Lucia Subatin shows how these AI-powered agents can save your time from tedious coding, schema mapping, and manual metadata creation Speakers: Lucia Subatin Products Mentioned: AI Infrastructure, BigQuery.