Building a Data Lakehouse at DoorDash and Grammarly

Organizations are looking to streamline their data management by melding their data warehouse and data lake into a single data lakehouse. A lakehouse provides a highly performant and reliable single source of data at a lower cost. See how DoorDash and Grammarly have used the Databricks Lakehouse Platform on AWS to:

• Address multiple data science use cases — including recommendation models, logistics and demand forecasting — as well as fraud detection
• Enable their business analysts to access dashboards to view business performance and address issues immediately
• Have a single automated system to manage their data pipelines to support these use cases and more

In this webinar, you’ll learn how a lakehouse:

• Speeds GTM iteration and enables a more productive, efficient ML team, resulting in increased revenue and profitability
• Provides a scalable, predictable framework, minimizing risk and lowering TCO by alleviating unnecessary DevOps

This session will also include a demonstration of how you can get started and a live Q&A.