The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.

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 ...

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 ...

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 ...

Google has renamed its open-source ZetaSQL project to GoogleSQL, unifying the branding for the SQL dialect, analysis, and parsing libraries.

This SEO approach to BigQuery answers the question: What do I do once I connect BigQuery to Google Search Console? Let's find out! BigQuery has a number of advantages not found with other tools when ...

Alteryx is significantly expanding its collaboration with Google Cloud. This should make data analytics more accessible to companies that use BigQuery.

Alteryx empowers information workers to prepare and combine data across the enterprise and encode calculations, metrics and ...