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How Moniepoint Group Uses Airflow for Exposure Monitoring with Adeolu Adegboye

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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 financial data at scale requires precise orchestration and proactive monitoring to maintain operational efficiency.

In this episode, we are joined by Adeolu Adegboye, Data Engineer at Moniepoint Group, who shares how his team uses data pipelines and workflow automation to manage high volumes of transactions, ensure timely alerts and support diverse stakeholders across the business.

Key Takeaways:

(00:00) Introduction.

(02:48) The role of data engineering in supporting all business operations.

(04:17) Leveraging workflow orchestration to manage daily processes.

(05:20) Proactively monitoring for anomalies to prevent potential issues.

(08:12) Simplifying complex insights for non-technical teams.

(13:01) Improving efficiency through dynamic and parallel workflows.

(14:19) Optimizing system performance to handle large-scale operations.

(17:19) Exploring creative and innovative uses for workflow automation.

Resources Mentioned:

Adeolu Adegboye

https://www.linkedin.com/in/adeolu-adegboye/

Moniepoint Group | LinkedIn

https://www.linkedin.com/company/moniepoint-inc/

Moniepoint Group | Website

https://www.moniepoint.com

Apache Airflow

https://airflow.apache.org/

ClickHouse

https://clickhouse.com/

Grafana

https://grafana.com/

Beyond Analytics Conference

https://astronomer.io/beyond/dataflowcast

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

81集单集

Artwork
icon分享
 
Manage episode 500213166 series 2053958
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 financial data at scale requires precise orchestration and proactive monitoring to maintain operational efficiency.

In this episode, we are joined by Adeolu Adegboye, Data Engineer at Moniepoint Group, who shares how his team uses data pipelines and workflow automation to manage high volumes of transactions, ensure timely alerts and support diverse stakeholders across the business.

Key Takeaways:

(00:00) Introduction.

(02:48) The role of data engineering in supporting all business operations.

(04:17) Leveraging workflow orchestration to manage daily processes.

(05:20) Proactively monitoring for anomalies to prevent potential issues.

(08:12) Simplifying complex insights for non-technical teams.

(13:01) Improving efficiency through dynamic and parallel workflows.

(14:19) Optimizing system performance to handle large-scale operations.

(17:19) Exploring creative and innovative uses for workflow automation.

Resources Mentioned:

Adeolu Adegboye

https://www.linkedin.com/in/adeolu-adegboye/

Moniepoint Group | LinkedIn

https://www.linkedin.com/company/moniepoint-inc/

Moniepoint Group | Website

https://www.moniepoint.com

Apache Airflow

https://airflow.apache.org/

ClickHouse

https://clickhouse.com/

Grafana

https://grafana.com/

Beyond Analytics Conference

https://astronomer.io/beyond/dataflowcast

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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