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Streamlining Thousands of Data Pipelines at Lyft with Yunhao Qing

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内容由The Data Flowcast提供。所有播客内容(包括剧集、图形和播客描述)均由 The Data Flowcast 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Managing data pipelines at scale is not just a technical challenge. It is also an organizational one. At Lyft, success means empowering dozens of teams to build with autonomy while enforcing governance and best practices across thousands of workflows.

In this episode, we speak with Yunhao Qing, Software Engineer at Lyft, about building a governed data-engineering platform powered by Airflow that balances flexibility, standardization and scale.

Key Takeaways:

(03:17) Supporting internal teams with a centralized orchestration platform.

(04:54) Migrating to a managed service to reduce infrastructure overhead.

(06:04) Embedding platform-level governance into custom components.

(08:02) Consolidating and regulating the creation of custom code.

(09:48) Identifying and correcting inefficient workflow patterns.

(11:17) Replacing manual workarounds with native platform features.

(14:32) Preparing teams for major version upgrades.

(16:03) Leveraging asset-based scheduling for smarter triggers.

(18:13) Envisioning GenAI and semantic search for future productivity.

Resources Mentioned:

Yunhao Qing

https://www.linkedin.com/in/yunhao-qing

Lyft | LinkedIn

https://www.linkedin.com/company/lyft/

Lyft | Website

https://www.lyft.com/

Apache Airflow

https://airflow.apache.org/

Astronomer

https://www.astronomer.io/

Kubernetes

https://kubernetes.io/

https://www.astronomer.io/events/roadshow/london/

https://www.astronomer.io/events/roadshow/new-york/

https://www.astronomer.io/events/roadshow/sydney/

https://www.astronomer.io/events/roadshow/san-francisco/

https://www.astronomer.io/events/roadshow/chicago/

Thanks for listening to “The Data Flowcast: Mastering Apache Airflow® for Data Engineering and 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

  continue reading

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icon分享
 
Manage episode 493031761 series 2948506
内容由The Data Flowcast提供。所有播客内容(包括剧集、图形和播客描述)均由 The Data Flowcast 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Managing data pipelines at scale is not just a technical challenge. It is also an organizational one. At Lyft, success means empowering dozens of teams to build with autonomy while enforcing governance and best practices across thousands of workflows.

In this episode, we speak with Yunhao Qing, Software Engineer at Lyft, about building a governed data-engineering platform powered by Airflow that balances flexibility, standardization and scale.

Key Takeaways:

(03:17) Supporting internal teams with a centralized orchestration platform.

(04:54) Migrating to a managed service to reduce infrastructure overhead.

(06:04) Embedding platform-level governance into custom components.

(08:02) Consolidating and regulating the creation of custom code.

(09:48) Identifying and correcting inefficient workflow patterns.

(11:17) Replacing manual workarounds with native platform features.

(14:32) Preparing teams for major version upgrades.

(16:03) Leveraging asset-based scheduling for smarter triggers.

(18:13) Envisioning GenAI and semantic search for future productivity.

Resources Mentioned:

Yunhao Qing

https://www.linkedin.com/in/yunhao-qing

Lyft | LinkedIn

https://www.linkedin.com/company/lyft/

Lyft | Website

https://www.lyft.com/

Apache Airflow

https://airflow.apache.org/

Astronomer

https://www.astronomer.io/

Kubernetes

https://kubernetes.io/

https://www.astronomer.io/events/roadshow/london/

https://www.astronomer.io/events/roadshow/new-york/

https://www.astronomer.io/events/roadshow/sydney/

https://www.astronomer.io/events/roadshow/san-francisco/

https://www.astronomer.io/events/roadshow/chicago/

Thanks for listening to “The Data Flowcast: Mastering Apache Airflow® for Data Engineering and 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

  continue reading

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