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1 Venture Investing in Mobility + Tech with University of Michigan’s Early-Stage Zell Lurie Commercialization Fund 39:30
Powering Finance With Advanced Data Solutions at Ramp with Ryan Delgado
Manage episode 460436655 series 2053958
Data is the backbone of every modern business, but unlocking its full potential requires the right tools and strategies. In this episode, Ryan Delgado, Director of Engineering at Ramp, joins us to explore how innovative data platforms can transform business operations and fuel growth. He shares insights on integrating Apache Airflow, optimizing data workflows and leveraging analytics to enhance customer experiences.
Key Takeaways:
(01:52) Data is the lifeblood of Ramp, touching every vertical in the company.
(03:18) Ramp’s data platform team enables high-velocity scaling through tailored tools.
(05:27) Airflow powers Ramp’s enterprise data warehouse integrations for advanced analytics.
(07:55) Centralizing data in Snowflake simplifies storage and analytics pipelines.
(12:08) Machine learning models at Ramp integrate seamlessly with Airflow for operational excellence.
(14:11) Leveraging Airflow datasets eliminates inefficiencies in DAG dependencies.
(17:22) Platforms evolve from solving narrow business problems to scaling organizationally.
(18:55) ClickHouse enhances Ramp’s OLAP capabilities with 100x performance improvements.
(19:47) Ramp’s OLAP platform improves performance by reducing joins and leveraging ClickHouse.
(21:46) Ryan envisions a lighter-weight, more Python-native future for Airflow.
Resources Mentioned:
https://www.linkedin.com/in/ryan-delgado-69544568/
Ramp -
https://www.linkedin.com/company/ramp/
https://airflow.apache.org/
https://www.snowflake.com/
https://clickhouse.com/
dbt -
https://www.getdbt.com/
Thanks for listening to “The Data Flowcast: Mastering Airflow for Data Engineering & AI.” If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss any of the insightful conversations.
#AI #Automation #Airflow #MachineLearning
63 פרקים
Powering Finance With Advanced Data Solutions at Ramp with Ryan Delgado
The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI
Manage episode 460436655 series 2053958
Data is the backbone of every modern business, but unlocking its full potential requires the right tools and strategies. In this episode, Ryan Delgado, Director of Engineering at Ramp, joins us to explore how innovative data platforms can transform business operations and fuel growth. He shares insights on integrating Apache Airflow, optimizing data workflows and leveraging analytics to enhance customer experiences.
Key Takeaways:
(01:52) Data is the lifeblood of Ramp, touching every vertical in the company.
(03:18) Ramp’s data platform team enables high-velocity scaling through tailored tools.
(05:27) Airflow powers Ramp’s enterprise data warehouse integrations for advanced analytics.
(07:55) Centralizing data in Snowflake simplifies storage and analytics pipelines.
(12:08) Machine learning models at Ramp integrate seamlessly with Airflow for operational excellence.
(14:11) Leveraging Airflow datasets eliminates inefficiencies in DAG dependencies.
(17:22) Platforms evolve from solving narrow business problems to scaling organizationally.
(18:55) ClickHouse enhances Ramp’s OLAP capabilities with 100x performance improvements.
(19:47) Ramp’s OLAP platform improves performance by reducing joins and leveraging ClickHouse.
(21:46) Ryan envisions a lighter-weight, more Python-native future for Airflow.
Resources Mentioned:
https://www.linkedin.com/in/ryan-delgado-69544568/
Ramp -
https://www.linkedin.com/company/ramp/
https://airflow.apache.org/
https://www.snowflake.com/
https://clickhouse.com/
dbt -
https://www.getdbt.com/
Thanks for listening to “The Data Flowcast: Mastering Airflow for Data Engineering & AI.” If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss any of the insightful conversations.
#AI #Automation #Airflow #MachineLearning
63 פרקים
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