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Blog AWS re:Invent got us in the data spirit

AWS re:Invent got us in the data spirit

dbt Labs was back in Las Vegas nearly two months after Coalesce wrapped up. This time it was for AWS re:Invent, one of the largest conferences in the desert with more than 57,000 technologists and data nerds in attendance. There was a flurry of exciting product announcements, great conversations, and an energy that’s found in few other places.

We’ll get to the news that we think will have the most impact on the dbt Community in a moment, but first, we want to thank AWS for hosting, our customers for joining us and making the event special, and everyone who stopped by our booth to learn about dbt.

Data Mesh supporting major use cases at Moderna

In October, dbt Labs announced Cross-Platform dbt Mesh to include cross-platform references, allowing customers to collaborate on dbt projects that are running in multiple data platforms. Fast forward just a few weeks, and this new feature is already operational at Moderna.

Sri Kamireddy, Principal Cloud Architect at Moderna, joined dbt Labs co-founder Connor McArthur on stage at re:Invent to share her experiences connecting Amazon Redshift and Athena together in a single analytics workflow, governed by a unified dbt DAG. The company is entrusting dbt Cloud and AWS with ensuring vaccine supply chain resilience so that it can provide critical and timely support to its network of customers. We’re thrilled to be able to support the work that Sri and the data team are doing at Moderna.

AWS announces Iceberg support for Amazon S3 tables

Many dbt Cloud customers use Amazon S3 for their data storage needs. AWS announced this week its support for Iceberg table formats in S3. Having the world’s largest cloud provider validate the future of Iceberg should give you the confidence you need to start deploying Iceberg. As more and more companies support Iceberg, you’ll see dbt supporting those implementations soon after.

SageMaker Lakehouse

As our partners introduce more and more data structures, dbt works to support those structures. Seeing AWS lean into the Lakehouse data structure is exciting. Lakehouses provide cost-effective and flexible structures for a company’s data. Most importantly, we were thrilled to see our joint customer Roche highlighted in the AWS announcement.

The momentum continues

We can’t wait to be back next year. If you’d like to hear about our announcements, please join us for the second webinar in our series digging deeper into our product announcements from Coalesce. We’re covering AWS and cross-platform mesh there. And be sure to join us all over the world as we engage with our community over the coming year.

Last modified on: Dec 06, 2024

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