BigQuery Advanced Runtime's Enhanced Vectorization expands on vectorized query execution by applying it to key aspects of query processing, such as filter evaluation in BigQuery storage, support for parallel execution of query algorithms, and through specialized data encodings and optimization techniques.
As businesses scale, their data storage needs evolve—often demanding more flexibility, lower latency, and better cost-efficiency. While Microsoft SQL Server has long served as a reliable relational database for transactional workloads, modern data demands increasingly point toward distributed NoSQL solutions.
Learn to test Healthcare Data Engine (HDE), a GCP offering utilizing Cloud Healthcare API to help healthcare stakeholders transition to FHIR.
Metadata is essential for various data initiatives, from deploying NLP solutions and chat with your data applications to enabling semantic search and establishing a business glossary. However, the manual effort of documenting every data attribute within a platform can be time-consuming and error-prone. At Google Cloud Next, we announced BigQuery Data Insights and Automated Metadata Generation, two powerful capabilities that simplify this process using Gen AI.
Ready to unlock the secrets hidden in your product data? This tutorial demonstrates how BigQuery Data Preparation can clean and transform your raw data into actionable business intelligence, using a realistic example from the Fashion and Beauty industry.
In our previous blog posts (1, 2, 3 and 4), we explored how Agent Builder can intelligently answer questions from BigQuery and unstructured data stores via chat or search bot. However, things get trickier when we need to address analytical queries that involve aggregations, comparisons, and more complex conditions.
We recently launched a bi-monthly BigQuery newsletter to give users a roundup of the latest announcements, innovations, code samples and learning resources.
Learn to use BigQuery's latest feature, Continuous Queries, combined with Google's GenAI models and Pub/Sub to implement real-time AI with minimal coding.
This article provides a step-by-step guide for deploying Cortex Framework when using Looker Block.
