High Impact in Databases with... Aditya Parameswaran
Episode Date: October 21, 2024In this High Impact episode we talk to Aditya Parameswaran about his some of his most impactful work.Aditya is an Associate Professor at the Universit...
This podcast features interviews with Computer Science researchers. Hosted by Dr. Jack Waudby researchers are interviewed, highlighting the problem(s) they tackled, solutions they developed, and how their findings can be applied in practice. This podcast is for industry practitioners, researchers, and students, aims to further narrow the gap between research and practice, and to generally make awesome Computer Science research more accessible. We have 2 types of episode: (i) Cutting Edge (red/blue logo) where we talk to researchers about their latest work, and (ii) High Impact (gold/silver logo) where we talk to researchers about their influential work.You can support the show through Buy Me a Coffee. A donation of $3 will help us keep making you awesome Computer Science research podcasts. Hosted on Acast. See acast.com/privacy for more information.
87 episodes transcribedIn this High Impact episode we talk to Aditya Parameswaran about his some of his most impactful work.Aditya is an Associate Professor at the Universit...
In this episode, we sit down with Marco Costa to discuss the fascinating world of range filters, focusing on how they help optimize queries in databas...
In this High Impact episode we talk to Ali Dasdan, CTO at Zoominfo. Tune in to hear Ali's story and learn about some of his most impactful work such a...
In this episode, we dive deep into the complexities of managing analytical query workloads with our guest, Matt Perron. Matt explains how the rapid an...
In this High Impact episode we talk to Andreas Kipf about his work on "Learned Cardinalities". Andreas is the Professor of Data Systems at Technische...
In this episode, we delve into the intersection of software engineering (SE) research and professional practice with experts Marvin Wyrich and Justus...
In this High Impact episode we talk to Joe Hellerstein.Joe is the Jim Gray Professor of Computer Science at UC Berkeley. Tune in to hear Joe's story a...
In this episode, we chat with Harry Goldstein about Property-Based Testing (PBT). Harry shares insights from interviews with PBT users at Jane Street,...
In this High Impact episode we talk to Raghu Ramakrishnan.Raghu is CTO for Data and a Technical Fellow at Microsoft. Tune in to hear Raghu's stor...
Join us as we chat with Gina Yuan about her pioneering work on sidekick protocols, designed to enhance the performance of encrypted transport protocol...
Welcome to another episode of the High Impact series - today we talk with Moshe Vardi! Moshe is the Karen George Distinguished Service Professor in Co...
In this episode, we dip our toes into the world of sustainable computing and interview Tammy Sukprasert about her research on reducing carbon emission...
Welcome to the first episode of the High Impact series!The High Impact series is inspired by a blog post “Most Influential Database Papers" by Ryan Ma...
In this episode, we explore the world of caching with Yazhuo Zhang, who introduces the game-changing SIEVE algorithm. Traditional eviction algorithms...
Introducing the High Impact Series! Hey folks, we have a new series coming soon inspired by a blog post “Most Influential Database Papers" by Ryan Mar...
In this episode, we talk to Eleni Zapridou and delve into the challenges of data processing within enterprises, where multiple applications operate co...
In this thought-provoking podcast episode, we dive into the world of scalable OLTP (OnLine Transaction Processing) systems with the insightful Pat Hel...
In this episode, we talk to Rui Liu and explore the transformative potential of Ratchet, a groundbreaking resource-adaptive query execution framework....
In this episode, Yifei Yang introduces predicate transfer, a revolutionary method for optimizing join performance in databases. Predicate transfer bui...
In this episode, Vikramank Singh introduces the Panda framework, aimed at refining Large Language Models' (LLMs) capability to address database perfor...