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Scaling Geospatial Workflows With Airflow at Overture Maps Foundation and Wherobots with Alex Iannicelli and Daniel Smith

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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

Using Airflow to orchestrate geospatial data pipelines unlocks powerful efficiencies for data teams. The combination of scalable processing and visual observability streamlines workflows, reduces costs and improves iteration speed.

In this episode, Alex Iannicelli, Staff Software Engineer at Overture Maps Foundation, and Daniel Smith, Senior Solutions Architect at Wherobots, join us to discuss leveraging Apache Airflow and Apache Sedona to process massive geospatial datasets, build reproducible pipelines and orchestrate complex workflows across platforms.

Key Takeaways:

00:00 Introduction.

03:22 How merging multiple data sources supports comprehensive datasets.

04:20 The value of flexible configurations for running pipelines on different platforms.

06:35 Why orchestration tools are essential for handling continuous data streams.

09:45 The importance of observability for monitoring progress and troubleshooting issues.

11:30 Strategies for processing large, complex datasets efficiently.

13:27 Expanding orchestration beyond core pipelines to automate frequent tasks.

17:02 Advantages of using open-source operators to simplify integration and deployment.

20:32 Desired improvements in orchestration tools for usability and workflow management.

Resources Mentioned:

Alex Iannicelli

https://www.linkedin.com/in/atiannicelli/

Overture Maps Foundation | LinkedIn

https://www.linkedin.com/company/overture-maps-foundation/

Overture Maps Foundation | Website

https://overturemaps.org

Daniel Smith

https://www.linkedin.com/in/daniel-smith-analyst/

Wherobots | LinkedIn

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

Wherobots | Website

https://www.wherobots.com

Apache Airflow

https://airflow.apache.org/

Apache Sedona

https://sedona.apache.org/

Github repo

https://github.com/wherobots/airflow-providers-wherobots

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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Artwork
icon分享
 
Manage episode 512511614 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

Using Airflow to orchestrate geospatial data pipelines unlocks powerful efficiencies for data teams. The combination of scalable processing and visual observability streamlines workflows, reduces costs and improves iteration speed.

In this episode, Alex Iannicelli, Staff Software Engineer at Overture Maps Foundation, and Daniel Smith, Senior Solutions Architect at Wherobots, join us to discuss leveraging Apache Airflow and Apache Sedona to process massive geospatial datasets, build reproducible pipelines and orchestrate complex workflows across platforms.

Key Takeaways:

00:00 Introduction.

03:22 How merging multiple data sources supports comprehensive datasets.

04:20 The value of flexible configurations for running pipelines on different platforms.

06:35 Why orchestration tools are essential for handling continuous data streams.

09:45 The importance of observability for monitoring progress and troubleshooting issues.

11:30 Strategies for processing large, complex datasets efficiently.

13:27 Expanding orchestration beyond core pipelines to automate frequent tasks.

17:02 Advantages of using open-source operators to simplify integration and deployment.

20:32 Desired improvements in orchestration tools for usability and workflow management.

Resources Mentioned:

Alex Iannicelli

https://www.linkedin.com/in/atiannicelli/

Overture Maps Foundation | LinkedIn

https://www.linkedin.com/company/overture-maps-foundation/

Overture Maps Foundation | Website

https://overturemaps.org

Daniel Smith

https://www.linkedin.com/in/daniel-smith-analyst/

Wherobots | LinkedIn

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

Wherobots | Website

https://www.wherobots.com

Apache Airflow

https://airflow.apache.org/

Apache Sedona

https://sedona.apache.org/

Github repo

https://github.com/wherobots/airflow-providers-wherobots

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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