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The Data Flowcast에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The Data Flowcast 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Overcoming Data Engineering Challenges at Daiichi Sankyo Europe GmbH with Evgenii Prusov

19:26
 
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Manage episode 505673291 series 2948506
The Data Flowcast에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The Data Flowcast 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

The shift to a unified data platform is reshaping how pharmaceutical companies manage and orchestrate data. Establishing standards across regions and teams ensures scalability and efficiency in handling large-scale analytics.

In this episode, Evgenii Prusov, Senior Data Platform Engineer of Daiichi Sankyo Europe GmbH, joins us to discuss building and scaling a centralized data platform with Airflow and Astronomer.

Key Takeaways:

00:00 Introduction.

02:49 Building a centralized data platform for 15 European countries.

05:19 Adopting SaaS to manage Airflow from day one.

07:01 Leveraging Airflow for data orchestration across products.

08:16 Teaching non-Python users how to work with Airflow is challenging.

12:25 Creating a global data community across Europe, the US and Japan.

14:04 Monthly calls help share knowledge and align regional teams.

15:47 Contributing to the open-source Airflow project as a way to deepen expertise.

16:32 Desire for more guidelines, debugging tutorials and testing best practices in Airflow.

Resources Mentioned:

Evgenii Prusov

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

Daiichi Sankyo Europe GmbH | LinkedIn

https://www.linkedin.com/company/daiichi-sankyo-europe-gmbh/

Daiichi Sankyo Europe GmbH | Website

https://www.daiichi-sankyo.eu

Apache Airflow

https://airflow.apache.org/

Astronomer

https://www.astronomer.io/

Snowflake

https://www.snowflake.com/

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

73 에피소드

Artwork
icon공유
 
Manage episode 505673291 series 2948506
The Data Flowcast에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The Data Flowcast 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

The shift to a unified data platform is reshaping how pharmaceutical companies manage and orchestrate data. Establishing standards across regions and teams ensures scalability and efficiency in handling large-scale analytics.

In this episode, Evgenii Prusov, Senior Data Platform Engineer of Daiichi Sankyo Europe GmbH, joins us to discuss building and scaling a centralized data platform with Airflow and Astronomer.

Key Takeaways:

00:00 Introduction.

02:49 Building a centralized data platform for 15 European countries.

05:19 Adopting SaaS to manage Airflow from day one.

07:01 Leveraging Airflow for data orchestration across products.

08:16 Teaching non-Python users how to work with Airflow is challenging.

12:25 Creating a global data community across Europe, the US and Japan.

14:04 Monthly calls help share knowledge and align regional teams.

15:47 Contributing to the open-source Airflow project as a way to deepen expertise.

16:32 Desire for more guidelines, debugging tutorials and testing best practices in Airflow.

Resources Mentioned:

Evgenii Prusov

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

Daiichi Sankyo Europe GmbH | LinkedIn

https://www.linkedin.com/company/daiichi-sankyo-europe-gmbh/

Daiichi Sankyo Europe GmbH | Website

https://www.daiichi-sankyo.eu

Apache Airflow

https://airflow.apache.org/

Astronomer

https://www.astronomer.io/

Snowflake

https://www.snowflake.com/

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

73 에피소드

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