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When data lives in one warehouse, every workload runs on that warehouse. When it lives in an open data lake, compute becomes a decision you make per workload, not a long-term commitment to a vendor. In some cases, you can even use different engines within the same job as we'll demonstrate.
This session matches the engine to the job: batch processing, analytics, local development or AI agent access. You can try new tools, adopt new capabilities and pick the most cost-effective option for each workload. That saves engineers time and the business money.
What you will learn:
- How Open Data Infrastructure delivers flexibility, lowers cost and makes AI more achievable.
- How to choose engines by workload, budget and team without giving up governance.
- Live demo, Lake Compute: run models on Lake Compute and Snowflake in the same project to reduce warehouse costs.
- Live demo, local and AI development: how your laptop talks directly to your data lake with Fivetran and DuckDB, on compute you already own.
Join this free live webinar on Wednesday, December 9, 11 AM PT / 2 PM ET.
Register now to attend How To Choose the Right Compute Engine for the Workload.
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MODERATOR |
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Jamie Cole
Senior Technical Product Marketing Manager
Fivetran + dbt Labs |
Eric O'Connor
Distinguished Product Manager
Fivetran + dbt Labs |
Jack Lowery
Sales Engineering Specialist, Data Lakes and Transformations
Fivetran + dbt Labs |
Stephen Faig
Research Director
Unisphere Research and DBTA |
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This is session 2 of 3 in the Open Data Infrastructure series.
Each session stands alone. Register for them at www.dbta.com/webinars
Session 1 on December 1: The Modern Data Lake: The Governed Foundation for Your AI.
Session 2 on December 9: How To Choose the Right Compute Engine for the Workload.
Session 3 on December 16: Build a Context Layer To Connect AI to Your Data.
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