One key to efficient data analysis of big data is to do the computations where the data lives. In some cases, that means running R, Python, Java, or Scala programs in a database such as SQL Server or ...

Google is abandoning its homegrown SQL variant as the recommended default query language for its BigQuery service in favor of a new standard-compliant dialect in the works for the managed data ...

For example, using a standard SQL query, developers can combine transaction data from Europe and Asia with customer data from the US. While similar results could be achieved on BigQuery using ETL ...

Google recently launched third-party generative AI inference for open models in BigQuery, allowing data teams to deploy and run any model from Hugging Face or Vertex AI Model Garden using plain SQL.

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...

Google's new product changes add another valuable business intelligence integration in the marketplace. The best business solutions are like Jenga pieces — you need the right pieces to hold the stack ...