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.

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 ...

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 ...

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 ...

AI is shaping every field by making skills (such as coding or data visualization) accessible to everyone, which weren’t available in the past. An AI operator who can run the right prompts can perform ...

BigQuery customers will need to select from Google’s three new pricing editions, as flat rates for monthly and annual BigQuery commitments will end in July. Google Cloud has unveiled three new pricing ...

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 ...