Watch Maya Alfaro — a principal data engineer with a decade of Teradata BTEQ on her shoulders — hand Cursor her legacy ELT portfolio. Her team keeps the keyboard. Jordan Park still gates every merge. Credits start flowing on asset #1, not asset #911.
Click through seven chapters. Every one has an interactive beat. Total runtime is ~8 minutes — and it's the demo a Snowflake AE plays on their next modernization call.
Act 01
The Wall
Q2 revenue: 14 hours stale
Act 02
The Quote
$18,000,000 · 4 years · rejected
Act 03
Diagnosis
63,180 LOC · indexed in 4 minutes
Act 04
First Asset
daily_revenue_rollup.bteq → fct_daily_revenue
Act 05
Proof & Review
Cortex semantic diff · 0 row delta · Jordan approves
Act 06
Scale
911 assets · 15 months · $16M pulled-forward credits
Act 07
The Morning After
Maya sleeps through the night. Samira closes the expansion.
~$16M pulled-forward credits
33 months earlier than the GSI baseline — quota retirement now, not in 2030.
Win-rate lift vs Databricks + BigQuery
Speed-of-migration is where Snowflake loses. This demo flips the axis in 8 minutes.
Cortex + Snowpark pull-through
Modernized code lights up the native features that drive expansion — automatically.