Getting started with NL2SQL (natural language to SQL) with Gemini and BigQuery
Learn about the challenges of natural language to SQL (NL2SQL), and how to implement it on Google Cloud with BigQuery and Gemini.
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How to simplify building RAG pipelines in BigQuery with Document AI Layout Parser
Learn how BigQuery and Document AI Layout Parser can help with document preprocessing when building retrieval-augmented generation (RAG) pipelines.
A practical guide to synthetic data generation with Gretel and BigQuery DataFrames
In this tutorial, learn how to use Gretel to generate synthetic data with BigQuery DataFrames, a Python client for BigQuery.
BigQuery's AI-assisted data preparation is now in preview
BigQuery data preparation is an AI-first solution that streamlines and simplifies the data preparation process as part of Gemini in BigQuery.
Revolutionizing SQL with pipe syntax, now available in BigQuery and Cloud Logging
Support for pipe syntax in GoogleSQL brings the elegance of piped data flow to SQL queries in BigQuery and Cloud Logging.
Get up to 100x query performance improvement with BigQuery history-based optimizations
BigQuery history-based optimizations learn from similar queries to identify and apply additional improvements to the query execution.
Introducing pipe syntax in BigQuery and Cloud Logging
Writing complex SQL queries can be challenging, but BigQuery's new pipe syntax offers a more intuitive way to structure your code. Learn how pipe syntax simplifies both exploratory analysis and complex log analytics tasks, helping you gain insights faster. Watch along and discover how to leverage pipe syntax in BigQuery for a more efficient analytics experience. Chapters: Speaker: Jeff Nelson Products Mentioned: Cloud - Data Analytics - BigQuery.
Building a real-time analytics platform using BigQuery and Bigtable
Bigtable provides the query latency that real-time systems need when using data from BigQuery via the EXPORT DATA to Bigtable (reverse ETL) function.
BigQuery tables for Apache Iceberg: optimized storage for the open lakehouse
The BigQuery tables for Apache Iceberg storage engine offers autonomous storage optimizations, clustering, and high-throughput streaming ingestion.
Using BigQuery Omni to reduce log ingestion and analysis costs in a multi-cloud environment
Learn about an architecture built on BigQuery Omni that reduces the overall cost of log analytics by 10x as compared to a traditional approach.