Future-proof your data architecture: Learn how DoorDash built a data lakehouse powered by Starburst to achieve a 20-30% faster time to insights. Akshat Nair shares lessons learned about what drove DoorDash to move beyond Snowflake to embrace the lakehouse. He will share his rationale for selecting Trino as their lakehouse query engine and why his team chose Starburst over open source. Discover how DoorDash seamlessly queries diverse sources, including Snowflake, Postgres, and data lake table formats, achieving faster data-driven decision-making at scale with cost benefits.
talk-data.com
Topic
Trino
Apache Trino
query_engine
big_data
analytics
1
tagged
Activity Trend
14
peak/qtr
2020-Q1
2026-Q1
Top Events
Data Engineering Podcast
57
Databricks DATA + AI Summit 2023
5
O'Reilly Data Engineering Books
3
Data + AI Summit 2025
2
Apache Iceberg Paris Community Meetup #2
1
dbt Coalesce 2022
1
Airflow Summit 2025
1
O'Reilly Data Science Books
1
Data Council Austin 2024 - Day 1
1
Airflow Summit 2024
1
gartner-data-analytics-uk-2025
1
Big Data & AI Paris 2025
1
Filtering by:
gartner-data-analytics-uk-2025
×