Retrospect is a system for scalable data analysis that combines the simplicity of Python with built‑in map‑reduce, a fast abstract machine, and a framework for distributed computation, aiming to provide easy‑to‑use, expressive, and scalable data analysis.
This article details six practical use cases for Model Context Protocol (MCP) to automate workflows using AI agents and integrations with tools like Slack, Google Calendar, BigQuery, Linear, GitHub, and HubSpot. It highlights the impact of these automations on team efficiency and productivity.
How to use BigQuery GENERATE_TEXT remote function
How to unnest / extract nested JSON data in BigQuery
