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The warehouse solved a real problem 10 years ago: get data into one place, model it, let analysts query it. Now AI tools reach for more data in more ways, and a pipeline tied to one warehouse limits what you can run and how far it scales.
Open Data Infrastructure (ODI) fixes that. You store data once, in an open table format, and Snowflake, Databricks, DuckDB and other engines read from and write to the same copy. The modern data lake holds that copy, and Fivetran lands the data there.
What you will learn:
- What Open Data Infrastructure is and why it matters for your AI plans.
- Why ODI stores data in a data lake.
- How landing data in open formats on S3, ADLS or GCS can save up to 28% on warehouse costs.
- What a live build looks like: connect a source, land data as files with Iceberg metadata and inspect those files in cloud storage through a catalog.
- How a catalog gives you a unified view of the data in your lake.
Join this free live webinar on Tuesday, December 1, 11 AM PT / 2 PM ET.
Register now to attend The Modern Data Lake: The Governed Foundation for Your AI.
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MODERATOR |
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Jamie Cole
Senior Technical Product Marketing Manager
Fivetran + dbt Labs |
Casey Karst
Principal Product Manager - Data Lakes
Fivetran + dbt Labs |
Stephen Faig
Research Director
Unisphere Research and DBTA |
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This is session 1 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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