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 ...

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 ...

Less than two years after taking the helm at Google Cloud, Chief Executive Thomas Kurian has made his playbook for competing with Amazon Web Services Inc. and Microsoft Azure clear: Build for a ...

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 ...

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 ...

The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, eliminating prompt tuning and external tools. Google has boosted its BigQuery ...

Google has introduced BigQuery AI, integrating machine learning, generative AI, vector search, and intelligent agents directly into its BigQuery platform. The release aims to streamline the AI ...

BigQuery is a managed, serverless data warehouse available on Google Cloud. After App Engine, BigQuery was one of the first managed cloud services from Google. Launched in 2010, BigQuery is the most ...

BigQuery vs Snowflake: Which ETL tool is best? Your email has been sent ETL tools can help you gain more actionable insights from your data sets across multiple sources. Read this comparison of ...

Benjamin is a business consultant, coach, designer, musician, artist, and writer, living in the remote mountains of Vermont. He has 20+ years experience in tech, an educational background in the arts, ...