BigQuery metastore is a fully managed metastore for data analytics products on Google Cloud. It provides a single source of truth for managing metadata from multiple sources. The metastore is accessible from BigQuery and various open data processing engines, making it a useful tool for data analysts and engineers. For example, you can use BigQuery metastore as the catalog with open source query engines such as Apache Spark. Tables created using Spark can be queried using BigQuery without requiring you to synchronize your metadata.
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product2025-11-20
Google Cloud has announced the general availability of Iceberg REST Catalog support in BigLake metastore, enhancing open data interoperability across various data engines. This fully-managed, serverless metastore allows users to query data using their preferred engines, including Apache Spark and BigQuery, without the need for data duplication. The integration with Dataplex Universal Catalog provides comprehensive governance and lineage capabilities. Organizations like Spotify are already leveraging this technology to build modern lakehouse platforms.
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product2025-05-17
The article discusses the advancements in text-to-SQL capabilities using Google's Gemini models, which allow users to generate SQL queries from natural language prompts. It highlights the challenges faced in understanding user intent, providing business-specific context, and the limitations of large language models in generating precise SQL. Various techniques to improve text-to-SQL performance are explored, including intelligent retrieval of data, disambiguation methods, and validation processes. The article serves as an introduction to a series on enhancing text-to-SQL solutions within Google Cloud products.
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