- Semih Salihoglu is an Associate Professor at the University of Waterloo and co-founder of Kuzu, an embedded graph database.
- He has a background in distributed systems and databases, with significant industry experience from Google.
- Salihoglu's academic journey includes studying computer science and economics at Yale University and pursuing doctoral studies at Stanford University.
- Kuzu is designed for high performance and addresses challenges in large graph analytics.
- The database features a unique storage format and query planning techniques, including Sideway Information Passing (SIP).
In this episode of Unapologetically Technical, I interview Semih Salihoglu, Associate Professor at the University of Waterloo and co-founder and CEO of Kuzu. Semih is a researcher and entrepreneur with a background in distributed systems and databases.
He shares his journey from a small city in Turkey to the hallowed halls of Yale University, where he studied computer science and economics. This path led him to a formative experience as a software engineer at Google in New York City, providing him with crucial industry insights. He then pursued his doctoral studies at Stanford University, delving into the complexities of database systems. Ultimately, he found his academic home at the University of Waterloo, where he now serves as an Associate Professor, shaping the next generation of computer scientists and continuing his innovative research.This path led him to a formative experience as a software engineer at Google in New York City, providing him with crucial industry insights.
We delve into the architecture of Kuzu, an embedded graph database designed for high performance, exploring its unique storage format, query planning techniques like Sideway Information Passing (SIP), and the rationale behind its schema-based approach. Semih explains how Kuzu addresses the challenges of large graph analytics, the benefits of embeddability, and its potential for applications in AI and beyond. Discover the insights he gained from academia and industry, his perspective on the future of data processing and the story behind building a next-generation graph database.Discover the insights he gained from academia and industry, his perspective on the future of data processing and the story behind building a next-generation graph database.
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Frequently Asked Questions (AI FAQ by Summarizes)Who is Semih Salihoglu?
Semih Salihoglu is an Associate Professor at the University of Waterloo and co-founder of Kuzu, an embedded graph database.
What is Kuzu?
Kuzu is an embedded graph database designed for high performance, addressing challenges in large graph analytics with a unique storage format and query planning techniques.
What academic background does Semih Salihoglu have?
Salihoglu studied computer science and economics at Yale University and pursued doctoral studies at Stanford University.
What innovative techniques does Kuzu utilize?
Kuzu features unique storage formats and query planning techniques, including Sideway Information Passing (SIP), which enhance its capabilities in data processing and analytics.
Why is embeddability important in modern databases according to Salihoglu?
Salihoglu emphasizes the importance of embeddability in modern databases due to its applications in artificial intelligence and the need for efficient data processing.
What insights does Salihoglu share regarding the future of data processing?
He shares insights gained from both academia and industry, highlighting innovative aspects of building next-generation graph databases.
How can listeners stay updated on discussions about technical topics?
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