How to simplify building RAG pipelines in BigQuery with Document AI Layout Parser Nov 8, 2024 By Jeff Nelson In Google BigQuery Learn how BigQuery and Document AI Layout Parser can help with document preprocessing when building retrieval-augmented generation (RAG) pipelines. Read Post Google BigQuery AI Analytics BI Blog Read more about How to simplify building RAG pipelines in BigQuery with Document AI Layout Parser
Getting started with NL2SQL (natural language to SQL) with Gemini and BigQuery Nov 8, 2024 By Bernard Chang In Google BigQuery Learn about the challenges of natural language to SQL (NL2SQL), and how to implement it on Google Cloud with BigQuery and Gemini. Read Post Google BigQuery AI Analytics BI Blog Read more about Getting started with NL2SQL (natural language to SQL) with Gemini and BigQuery
A practical guide to synthetic data generation with Gretel and BigQuery DataFrames Nov 5, 2024 By Jiaxun Wu In Google BigQuery In this tutorial, learn how to use Gretel to generate synthetic data with BigQuery DataFrames, a Python client for BigQuery. Read Post Google BigQuery Analytics BI Blog Read more about A practical guide to synthetic data generation with Gretel and BigQuery DataFrames
BigQuery's AI-assisted data preparation is now in preview Oct 26, 2024 By Tim Bezold In Google BigQuery BigQuery data preparation is an AI-first solution that streamlines and simplifies the data preparation process as part of Gemini in BigQuery. Read Post Google BigQuery AI Analytics BI Blog Read more about BigQuery's AI-assisted data preparation is now in preview
Revolutionizing SQL with pipe syntax, now available in BigQuery and Cloud Logging Oct 18, 2024 By Candice Chen In Google BigQuery Support for pipe syntax in GoogleSQL brings the elegance of piped data flow to SQL queries in BigQuery and Cloud Logging. Read Post Google BigQuery Analytics BI Blog Logging Read more about Revolutionizing SQL with pipe syntax, now available in BigQuery and Cloud Logging
Get up to 100x query performance improvement with BigQuery history-based optimizations Oct 15, 2024 By Peter Freiling In Google BigQuery BigQuery history-based optimizations learn from similar queries to identify and apply additional improvements to the query execution. Read Post Google BigQuery Analytics BI Blog Read more about Get up to 100x query performance improvement with BigQuery history-based optimizations
BigQuery tables for Apache Iceberg: optimized storage for the open lakehouse Oct 12, 2024 By Anoop Johnson In Google BigQuery The BigQuery tables for Apache Iceberg storage engine offers autonomous storage optimizations, clustering, and high-throughput streaming ingestion. Read Post Google BigQuery Analytics BI Blog Data Lakes Read more about BigQuery tables for Apache Iceberg: optimized storage for the open lakehouse
Building a real-time analytics platform using BigQuery and Bigtable Oct 12, 2024 By Christopher Crosbie In Google BigQuery Bigtable provides the query latency that real-time systems need when using data from BigQuery via the EXPORT DATA to Bigtable (reverse ETL) function. Read Post Google BigQuery Analytics BI Blog Databases Read more about Building a real-time analytics platform using BigQuery and Bigtable
Using BigQuery Omni to reduce log ingestion and analysis costs in a multi-cloud environment Oct 11, 2024 By Rodrigo Vale In Google BigQuery Learn about an architecture built on BigQuery Omni that reduces the overall cost of log analytics by 10x as compared to a traditional approach. Read Post Google BigQuery Analytics BI Blog Logging Read more about Using BigQuery Omni to reduce log ingestion and analysis costs in a multi-cloud environment
Better together: BigQuery and Spanner expand operational insights with external datasets Oct 11, 2024 By Jagan R. Athreya In Google BigQuery BigQuery external datasets for Spanner let you browse, explore and query Spanner tables as if they were native BigQuery tables. Read Post Google BigQuery Analytics BI Blog Read more about Better together: BigQuery and Spanner expand operational insights with external datasets