Three years of daily unit-sales history for 2,000 SKUs already sit in a BigQuery table. Supply chain analysts, who write SQL every day but have never used Python, need a 60-day demand forecast per SKU refreshed weekly. Moving the data out of BigQuery would require a new security review, so the team wants the forecast produced where the data already lives.
Which approach meets these requirements with the least effort?