Cloud Computing

The key to effective data-driven decision making is quickly processing and extracting insights from large amounts of data. However, doing this efficiently and at scale is a challenge.  Imagine a retail scenario where you’re trying to identify the highest performing promotions by analyzing sales data across products, stores, locations, and a large customer base, in […]

Late-night study sessions, complex equations, and immense pressure: for millions of students in India, the IIT JEE Main exam and NEET for medical colleges are critical gateways for their futures. Exam success hinges on intricate reasoning within physics, chemistry, mathematics, zoology, and botany. These students require a clear, step-by-step understanding of the topics, not just

From retail to gaming, from code generation to customer care, an increasing number of organizations are running LLM-based applications, with 78% of organizations in development or production today. As the number of generative AI applications and volume of users scale, the need for performant, scalable, and easy to use inference technologies is critical. At Google

We’re excited to announce that the AWS Deploy Tool for .NET now supports deploying .NET applications to select ARM-based compute platforms on AWS! Whether you’re deploying from Visual Studio or using the .NET CLI, you can now target cost-effective ARM infrastructure like AWS Graviton with the same streamlined experience you’re used to. Why deploy to

At Google Cloud Next 25, we announced a major step forward in geospatial analytics: Earth Engine in BigQuery. This new capability unlocks Earth Engine raster analytics directly in BigQuery, making advanced analysis of geospatial datasets derived from satellite imagery accessible to the SQL community. Before we get into the details of this new capability and

BigQuery delivers optimized search/lookup query performance by efficiently pruning irrelevant files. However, in some cases, additional column information is required for search indexes to further optimize query performance. To help, we recently announced indexing with column granularity, which lets BigQuery pinpoint relevant data within columns, for faster search queries and lower costs.  BigQuery arranges table