Webinar
Building a Data Lakehouse at DoorDash and Grammarly
A single lakehouse for analysts and data scientists
![](/en-resources-assets/static/646f82a7a009e1c9387c79e330876d50/LP-heroImage-generic-node-51676652677.png)
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.
Speakers
![Hien Luu](/en-resources-assets/static/d57208b576f6528709250725fb36a107/HienLuu1676497479.png)
Hien Luu
Head of Machine Learning Platform
DoorDash
![Michael Keba](/en-resources-assets/static/26c8fe43e055cb7470d1b15d91d4286d/Michael-Keba1676493391.png)
Michael Keba
Data Engineer
Grammarly
![speaker-franco-patano](/en-resources-assets/static/9d8f64e481f3385a74d359d319f5e3a9/speaker-franco-patano-400x4001676373515.jpeg)
Franco Patano
Sr. Solutions Architect
Databricks