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Learning and Sharing in Public with Dagster Lab's Pedram Navid
Manage episode 399712046 series 3386287
Content provided by Skyflow. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Skyflow or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
In this episode Sean is joined by Pedram Naveed, Head of Data Engineering at Dagster Labs. They discuss the unique challenges and opportunities in the realm of data engineering, particularly the culture of learning and sharing within the field.
Pedram discusses the traditionally guarded nature of data engineering, contrasting it with the more open-source approach in software engineering. He highlights the potential downsides of this secrecy, such as the difficulty in learning best practices and innovating. The discussion also touches on the balance companies must strike between contributing to communal knowledge and protecting valuable data and intellectual property.
Pedram shares insights from his experiences at Dagster Labs, including the development of the Dagster Open Platform and its impact on fostering a culture of openness in data engineering. Additionally, they explore the future of collaboration in the field, considering emerging technologies and methodologies that could further encourage sharing and innovation over the next 5-10 years.
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72 episodes
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Manage episode 399712046 series 3386287
Content provided by Skyflow. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Skyflow or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
In this episode Sean is joined by Pedram Naveed, Head of Data Engineering at Dagster Labs. They discuss the unique challenges and opportunities in the realm of data engineering, particularly the culture of learning and sharing within the field.
Pedram discusses the traditionally guarded nature of data engineering, contrasting it with the more open-source approach in software engineering. He highlights the potential downsides of this secrecy, such as the difficulty in learning best practices and innovating. The discussion also touches on the balance companies must strike between contributing to communal knowledge and protecting valuable data and intellectual property.
Pedram shares insights from his experiences at Dagster Labs, including the development of the Dagster Open Platform and its impact on fostering a culture of openness in data engineering. Additionally, they explore the future of collaboration in the field, considering emerging technologies and methodologies that could further encourage sharing and innovation over the next 5-10 years.
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72 episodes
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Similar to Partially Redacted: Data, AI, Security, and Privacy
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