Learning And Sharing In Public With Dagster Lab's Pedram Navid Partially Redacted: Data, AI, Security, And Privacy podcast

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Learning and Sharing in Public with Dagster Lab's Pedram Navid

4M ago 35:58

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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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69 episodi

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Learning and Sharing in Public with Dagster Lab's Pedram Navid

Partially Redacted: Data, AI, Security, and Privacy

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published 4M ago

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MP3•Pagina principale dell'episodio

Contenuto fornito da Skyflow. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Skyflow o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.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.

Links:

… continue reading

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