Open Data Infrastructure in practice: unlock your dbt projects with Apache Iceberg and mesh
Most dbt projects are “locked into” a single remote data warehouse for three primary reasons:
- Data storage
- SQL dialect
- Difficulty of self-hosting a query engine
With dbt + Apache Iceberg, it’s never been easier to “unlock” your project: with data in open table formats (Iceberg), Fusion’s multi-dialect support, and innovations with DuckDB, organizations have a flexible foundation to run their dbt projects across platforms and engines. Join this session to get an overview and demo of how these components come together to deliver Open Data Infrastructure for improved choice, better collaboration, and optimized costs.
Check out more sessions
- Breakout session
Dismantling the vault: scaling to a data mesh during a 5x merger
Zhen Xing / 74softwareView session - Training add-on
{SOLD OUT} Getting started with dbt
Shania Thomas / dbt LabsDavid Elliott / dbt LabsView session - Lightning talks
$1B in transactions, 1 minute latency: dbt as production banking infrastructure
Scott Ziolko / KeepView session
