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.

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'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 ...

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 ...

BigQuery is one of the most underutilized tools in PPC. While data professionals have been leveraging data warehousing and Structured Query Language (SQL) for years, many PPC specialists still rely on ...

Understand the benefits of Bulk Export from GSC to BigQuery in 15 minutes or less. Find out if it's worth your time as an SEO. Google Search Console is a great tool for SEO pros. But as many of us ...

Do you want to analyze data that resides in Google BigQuery as part of an R workflow? Thanks to the bigrquery R package, it’s a pretty seamless experience — once you know a couple of small tweaks ...