The PRQL: How is Academic Research Shaping the Future of Data Processing Systems? Featuring Tony Wang of Stanford University
Feb 26, 2024
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Tony Wang, an academic researcher at Stanford University, discusses his research in data systems and databases, the connection between academia and industry, and shares insights on data processing systems and future trends with the hosts.
Academic research in data processing systems influences industry developments.
Understanding the interplay between technical aspects and external influences shapes data products.
Deep dives
Overview of Guest's Background
Tony Wang, a PhD student at Stanford University and a researcher in data systems and databases, discusses his educational background, including his time at MIT studying electrical and hardware engineering. He also shares his journey from China to the US, attending a private boarding school, and exploring outdoor activities like skiing and biking in California, which has provided an ideal environment for his database research.
Exploring the Connection Between Academia and Industry
The host expresses excitement about having a current PhD student like Tony on the show, highlighting the importance of understanding the influence of research and academia on industry developments. Tony plans to share insights on data processing systems and his vision for future advancements, recognizing that data products are shaped not only by technical aspects but also by other influences. The conversation is expected to delve into the interplay between academic research and real-world applications in the data industry.
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Previewing the Intersection of Academic Research and Data Processing Systems