"An aggregation that takes an hour to process on my local Python machine returned in 3 seconds with BigQuery"—this is the shock everyone experiences when they first touch a cloud DWH. For a data ...

Google Cloud is introducing the Open Knowledge Format (OKF), a new spec that standardizes knowledge as Markdown files and makes it portable across systems. It takes the "LLM wiki" pattern recently ...

Google Cloud users who rely on Looker Studio for data visualization will find the product operating under a new name. On April 11, 2026, Google announced it is retiring the "Looker Studio" name and ...

Choosing the right data platform is critical for the modern enterprise. These platforms not only store and protect enterprise data, but also serve as analytics engines that source insights for pivotal ...

Highlighting an example, the company said a BigQuery MCP server will allow an agent to interpret table schemas, run queries directly on enterprise data, and get insights without having to move data ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Despite the title of this article, this is not a Professional GCP Machine Learning Engineer ...

Community driven content discussing all aspects of software development from DevOps to design patterns. In my opinion, one of the most reputable organizations providing credentials is Google, and one ...

Your browser does not support the audio element. Vertex AI Workbench is a managed Jupyter environment in Google Cloud. It ships with native integration with BigQuery ...

The Storage API streams data in parallel directly from BigQuery via gRPC without using Google Cloud Storage as an intermediary. It has a number of advantages over using the previous export-based read ...