Partially Redacted: Data, AI, Security, and Privacy
Skyflow
76 episodes
8 months ago
Partially Redacted brings together experts on engineering, architecture, privacy, data, and security to share knowledge, best practices, and real world experiences – all to help you better understand how to use, manage, and protect sensitive customer data.
Each episode provides an in-depth conversation with an industry expert who dives into their background and experience working in data privacy. They’ll share practical advice and insights about the techniques, tools, and technologies that every company – and every technology professional – should know about.
Learn from an amazing array of founders, engineers, architects, and leaders in the privacy space. Subscribe to the podcast and join the community at https://skyflow.com/community to stay up to date on the latest trends in data privacy, and to learn what lies ahead.
All content for Partially Redacted: Data, AI, Security, and Privacy is the property of Skyflow and is served directly from their servers
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Partially Redacted brings together experts on engineering, architecture, privacy, data, and security to share knowledge, best practices, and real world experiences – all to help you better understand how to use, manage, and protect sensitive customer data.
Each episode provides an in-depth conversation with an industry expert who dives into their background and experience working in data privacy. They’ll share practical advice and insights about the techniques, tools, and technologies that every company – and every technology professional – should know about.
Learn from an amazing array of founders, engineers, architects, and leaders in the privacy space. Subscribe to the podcast and join the community at https://skyflow.com/community to stay up to date on the latest trends in data privacy, and to learn what lies ahead.
Learning and Sharing in Public with Dagster Lab's Pedram Navid
Partially Redacted: Data, AI, Security, and Privacy
35 minutes 58 seconds
1 year ago
Learning and Sharing in Public with Dagster Lab's Pedram Navid
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:
Dagster Open Platform
Pedram Navid
Partially Redacted: Data, AI, Security, and Privacy
Partially Redacted brings together experts on engineering, architecture, privacy, data, and security to share knowledge, best practices, and real world experiences – all to help you better understand how to use, manage, and protect sensitive customer data.
Each episode provides an in-depth conversation with an industry expert who dives into their background and experience working in data privacy. They’ll share practical advice and insights about the techniques, tools, and technologies that every company – and every technology professional – should know about.
Learn from an amazing array of founders, engineers, architects, and leaders in the privacy space. Subscribe to the podcast and join the community at https://skyflow.com/community to stay up to date on the latest trends in data privacy, and to learn what lies ahead.
