Webinar

Goodbye, Data Warehouse. Hello, Lakehouse.

The case for the data lakehouse
Goodbye, Warehouse. Hello, Lakehouse.

2023年5月18日| 8 AM PT / 4 PM BST

Running data warehouses for business analytics and data lakes for AI is costly, complex, inefficient — and unnecessary.

Join us to learn why it’s time to move beyond the warehouse. We’ll explore why the lakehouse is the right data architecture for all your data, analytics and AI use cases. Then we’ll cover integrating with modern tools you have today such as Fivetran and dbt, or new technologies you may adopt tomorrow, to access the freshest data from anywhere.

Learn from Databricks, Fivetran and dbt Labs experts how to:

  1. Automate data movement and transform raw data into analytics-ready tables using your favorite tools like Fivetran and dbt
  2. Unify and govern business-critical data at scale to build a curated data lake for data warehousing, SQL and BI
  3. Reduce costs and get started in seconds with on-demand, elastic SQL serverless compute
  4. Use automated and real-time lineage to monitor end-to-end data flow
  5. Go from ingest to insight with Databricks SQL and Unity Catalog for best-in-class data warehousing and fine-grained governance on the lakehouse

This interactive session will come to life with demos, customer stories and Q&A.

Plus, you’ll get a $100 credit toward a wide selection of Databricks certifications. All you have to do is register, and we’ll show you how to claim this special offer in the confirmation email.

Databricks x Fivetran x dbt

Speakers

Reynold

Reynold Xin

Co-founder & Chief Architect

Databricks

Drew Banin

Drew Banin

Co-Founder & Chief Product Officer

Dbt Labs

Bill Inmon

Founder

Forest Rim Technology

Aaro Reese Photo

Aaron Reese

Principal Enterprise Architect, Advanced Analytics

Chick-fil-A, Inc.

Mark Van de Wiel photo

Mark Van de Wiel

Field CTO

Fivetran

Erika Ehrli

Senior Director of Product Marketing

Databricks

Shant Hovsepian

Principal Software Engineer

Databricks

Pearl Ubaru

Pearl Ubaru

Sr. Technical Marketing Engineer

Databricks

Event Co-sponsor: Databricks (Databricks Privacy Policy)

事件赞助:Fivetran (Fivetran Privacy Policy)

Event Co-Sponsor: dbt Labs (dbt Labs policy)