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Webinar

Where Did the Snowflake Money Go?

  • Thursday, November 05, 2026

  • 11:00 a.m. PT / 2:00 p.m. ET

  • 30 minutes Webinar

  • 15 Minute Live Q&A

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DataRadar powered by Snowflake

Watch DataRadar Find the Waste in Snowflake.
Nov 5. Seats Limited.

Snowflake spend is the number one cloud challenge for 84% of organizations, and about a quarter of it is waste. Most data teams find out on the invoice. On November 5, DataRadar demonstrates five ways to trace every credit to a user, query, and warehouse, and stop funding bad data.
Save My Seat - Nov 5

Explore the 5 capabilities that put every Snowflake credit under your control.

  • Data icon

    Usage Intelligence

    See who spends what, down to the query.
    Attribute every credit to a user, department, and query, so finance gets an answer in minutes and leadership sees if teams are on the right work.

  • Pipeline icon

    Process and Performance

    Catch failures that burn compute.
    Seven days of task, query, copy, and login failures plus long-running queries on one screen, with the cause behind each retry before the bill arrives.

  • Performance icon

    Query Optimization

    Fix the expensive queries first.
    AI Analyzer explains a slow query, rewrites it, explains every change, and estimates the savings before anything touches production. No guesswork.

  • Usage icon

    Warehouse Optimization

    Pay only for compute you use.
    Schedule and right-size each warehouse to real demand by time slot and day of week, with the expected impact shown before you commit to the change.

  • Cost icon

    Cost Anomaly Detection

    Find the spike the day it happens.
    Cost trend by warehouse down to the day or hour, plus underused and overused warehouses and peak periods, so a surprise never waits for the invoice.

What you will walk away with

  1. A cost report that names the user, query, and warehouse behind every Snowflake credit, so you answer finance in minutes, not days.

  2. A five-step method to cut the retries, duplicate tables, and bad queries that burn compute on bad data, and move that budget to AI work that ships.

  3. A tripwire that flags spend spikes the day they happen, not on the invoice.

Reserve My Seat