The modern data stack was built for humans asking questions. Google just rebuilt its for agents taking action.

Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the human-scale queries enterprise data stacks were built for.
TMCnet

Ex-Google DeepMind and Databricks Engineers Launch Pomo to Apply AI Agent Principles to Decision-Dense Marketing Functions

Pomo, an agentic marketing intelligence platform built for mid-market, today announced $4.5 million in seed funding led by K indred Ventures, with participation from Databricks Ventures, Seven Stars, ...
Morningstar

Ex-Google DeepMind and Databricks Engineers Launch Pomo to Apply AI Agent Principles to Decision-Dense Marketing Functions

Company raises $4.5M to scale its agentic marketing intelligence platform. Pomo, an agentic marketing intelligence platform built for mid-market, today announced $4.5 million in seed funding led by K ...
GitHub

session_13_window_analytical_functions

-- Without ORDER BY, previous row has no clear meaning. -- Here previous salary is calculated inside each department only. -- So department becomes the partition/window. -- For every department, ...
GitHub

03_create_functions_for_AI_agent.py

spark.sql (f""" CREATE OR REPLACE FUNCTION get_store_item_sales_ranking ( p_store_id INT DEFAULT NULL COMMENT '店舗ID', -- 特定の店舗ID limit_rows INT DEFAULT 10 COMMENT '表示する行数' READS SQL DATA SQL SECURITY ...