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PODCAST

Disseminate: The Computer Science Research Podcast

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

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All Episodes

31:09

Raunak Shah | R2D2: Reducing Redundancy and...

Disseminate: The Computer Science Research Podcast ·

2024/10/28

In this episode, Raunak Shah joins us to discuss the critical issue of data redundancy in enterprise data lakes, which can lead to soaring storage and maintenance costs. Raunak highlights how large-scale data environments, ranging from terabytes to petabytes, often contain duplicate and redundant datasets that are difficult to manage. He introduces the concept of "dataset containment" and explains its significance in identifying and reducing redundancy at the table level in these massive data

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58:57

High Impact in Databases with... Aditya Parameswaran

Disseminate: The Computer Science Research Podcast ·

2024/10/21

In this High Impact episode we talk to Aditya Parameswaran about his some of his most impactful work.Aditya is an Associate Professor at the University of California, Berkeley. Tune in to hear Aditya's story! The podcast is proudly sponsored by Pometry the developers behind Raphtory, the open source temporal graph analytics engine for Python and Rust.Links:EPIC Data LabAnswering Queries using Humans, Algorithms and Databases (CIDR'11)Potter’s Wheel: An Interactive Data Cleaning System

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37:07

Marco Costa | Taming Adversarial Queries with Optimal...

Disseminate: The Computer Science Research Podcast ·

2024/10/14

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 databases by determining whether a range intersects with a given set of keys. Marco explains how traditional range filters, like Bloom filters, often result in high false positives and slow query times, especially when dealing with adversarial inputs where queries are correlated with the keys. He walks us through the limitations of existing heuristic-based

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1:03:02

High Impact in Databases with... Ali Dasdan

Disseminate: The Computer Science Research Podcast ·

2024/10/08

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 as his work on "Map-Reduce-Merge".The podcast is proudly sponsored by Pometry the developers behind Raphtory, the open source temporal graph analytics engine for Python and Rust.Materials mentioned on this episode:Map-Reduce-Merge: Simplified Relational Data Processing on Large Clusters (SIGMOD'07)The Art of Doing Science and Engineering: Learning to

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52:10

Matt Perron | Analytical Workload Cost and...

Disseminate: The Computer Science Research Podcast ·

2024/07/22

In this episode, we dive deep into the complexities of managing analytical query workloads with our guest, Matt Perron. Matt explains how the rapid and unpredictable fluctuations in resource demands present a significant challenge for provisioning. Traditional methods often lead to either over-provisioning, resulting in excessive costs, or under-provisioning, which causes poor query latency during demand spikes. However, there's a promising solution on the horizon. Matt shares insights from recent

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53:06

High Impact in Databases with... Andreas Kipf

Disseminate: The Computer Science Research Podcast ·

2024/07/15

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 Universität Nürnberg (UTN). Tune in to hear Andreas's story and learn about some of his most impactful work.The podcast is proudly sponsored by Pometry the developers behind Raphtory, the open source temporal graph analytics engine for Python and Rust.Papers mentioned on this episode:Learned Cardinalities: Estimating Correlated Joins with Deep Learning

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47:53

Marvin Wyrich & Justus Bogner | How Software...

Disseminate: The Computer Science Research Podcast ·

2024/07/08

In this episode, we delve into the intersection of software engineering (SE) research and professional practice with experts Marvin Wyrich and Justus Bogner. As LinkedIn stands as the largest professional network globally, it serves as a critical platform for bridging the gap between SE researchers and practitioners. Marvin and Justus explore the dynamics of how research findings are shared and discussed on LinkedIn, providing both quantitative and qualitative insights into the effectiveness of

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52:56

High Impact in Databases with... Joe Hellerstein

Disseminate: The Computer Science Research Podcast ·

2024/07/01

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 and learn about some of his most impactful work.The podcast is proudly sponsored by Pometry the developers behind Raphtory, the open source temporal graph analytics engine for Python and Rust. Hosted on Acast. See acast.com/privacy for more information.

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49:13

Harry Goldstein | Property-Based Testing | #55

Disseminate: The Computer Science Research Podcast ·

2024/06/25

In this episode, we chat with Harry Goldstein about Property-Based Testing (PBT). Harry shares insights from interviews with PBT users at Jane Street, highlighting PBT's strengths in testing complex code and boosting developer confidence. Harry also discusses the challenges of writing properties and generating random data, and the difficulties in assessing test effectiveness. He identifies key areas for future improvement, such as performance enhancements and better random input generation. This

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23:56

High Impact in Databases with... Raghu Ramakrishnan

Disseminate: The Computer Science Research Podcast ·

2024/06/17

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 story and learn about some of his most impactful work.The podcast is proudly sponsored by Pometry the developers behind Raphtory, the open source temporal graph analytics engine for Python and Rust. Hosted on Acast. See acast.com/privacy for more information.

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55:25

Gina Yuan | In-Network Assistance With Sidekick...

Disseminate: The Computer Science Research Podcast ·

2024/06/10

Join us as we chat with Gina Yuan about her pioneering work on sidekick protocols, designed to enhance the performance of encrypted transport protocols like QUIC and WebRTC. These protocols ensure privacy but limit in-network innovations. Gina explains how sidekick protocols allow intermediaries to assist endpoints without compromising encryption.Discover how Gina tackles the challenge of referencing opaque packets with her innovative quACK tool and learn about the real-world benefits, including

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47:39

High Impact in Databases with... Moshe Vardi

Disseminate: The Computer Science Research Podcast ·

2024/06/03

Welcome to another episode of the High Impact series - today we talk with Moshe Vardi! Moshe is the Karen George Distinguished Service Professor in Computational Engineering at Rice University where his research focuses on automated reasoning. Tune in to hear Moshe's story and learn about some of his most impactful work.The podcast is proudly sponsored by Pometry the developers behind Raphtory, the open source temporal graph analytics engine for Python and Rust.You can find Moshe on X, LinkedIn, and

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32:50

Tammy Sukprasert | Move Your Workloads To Sweden! | #53

Disseminate: The Computer Science Research Podcast ·

2024/05/27

In this episode, we dip our toes into the world of sustainable computing and interview Tammy Sukprasert about her research on reducing carbon emissions in cloud computing through workload scheduling. Tammy explores the concept of shifting cloud workloads across different times and locations to coincide with low-carbon energy availability. Unlike previous studies that focused on specific regions or workloads, her comprehensive analysis uses carbon intensity data from 123 regions to assess both batch

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59:52

High Impact in Databases with... Ryan Marcus

Disseminate: The Computer Science Research Podcast ·

2024/05/20

Welcome the first episode of the High Impact series! The High Impact series is inspired by a blog post “Most Influential Database Papers" by Ryan Marcus and today we talk to Ryan! Tune in to hear about Ryan's story so far. We chat about his current work before moving on to discuss his most impactful work. We also dig into what motivates him and how he handles setbacks, as well as getting his take on the current trends. The podcast is proudly sponsored by Pometry the developers behind Raphtory, the

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43:10

Yazhuo Zhang | SIEVE is Simpler than LRU | #52

Disseminate: The Computer Science Research Podcast ·

2024/05/13

In this episode, we explore the world of caching with Yazhuo Zhang, who introduces the game-changing SIEVE algorithm. Traditional eviction algorithms have long struggled with a trade-off between efficiency, throughput, and simplicity. However, SIEVE disrupts this balance by offering a simpler alternative to LRU while outperforming state-of-the-art algorithms in both efficiency and scalability for web cache workloads. Implemented in five production cache libraries with minimal code changes, SIEVE's

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2:40

Introducing the High Impact Series...

Disseminate: The Computer Science Research Podcast ·

2024/05/06

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 Marcus. The series will feature interviews with the authors of some of the most impactful work in the field of databases. We will talk about the story behind some of their most impactful work, getting them to reflect on the impact it has had over years, as well as getting their take on the current trends in the field. Proudly sponsored by Pometry Hosted

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38:42

Eleni Zapridou | Oligolithic Cross-task Optimizations...

Disseminate: The Computer Science Research Podcast ·

2024/04/29

In this episode, we talk to Eleni Zapridou and delve into the challenges of data processing within enterprises, where multiple applications operate concurrently on shared resources. Traditional resource boundaries between applications often lead to increased costs and resource consumption. However, as Eleni explains the principle of functional isolation offers a solution by combining cross-task optimizations with performance isolation. We explore GroupShare, an innovative strategy that reduces CPU

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1:20:03

Pat Helland | Scalable OLTP in the Cloud: What’s the...

Disseminate: The Computer Science Research Podcast ·

2024/04/15

In this thought-provoking podcast episode, we dive into the world of scalable OLTP (OnLine Transaction Processing) systems with the insightful Pat Helland. As a seasoned expert in the field, Pat shares his insights on the critical role of isolation semantics in the scalability of OLTP systems, emphasizing its significance as the "BIG DEAL." By examining the interface between OLTP databases and applications, particularly through the lens of RCSI (READ COMMITTED SNAPSHOT ISOLATION) SQL databases, Pat

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53:52

Rui Liu | Towards Resource-adaptive Query Execution...

Disseminate: The Computer Science Research Podcast ·

2024/04/01

In this episode, we talk to Rui Liu and explore the transformative potential of Ratchet, a groundbreaking resource-adaptive query execution framework. We delve into the challenges posed by ephemeral resources in modern cloud environments and the innovative solutions offered by Ratchet. Rui guides us through the intricacies of Ratchet's design, highlighting its ability to enable adaptive query suspension and resumption, sophisticated resource arbitration for diverse workloads, and a fine-grained

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47:37

Yifei Yang | Predicate Transfer: Efficient...

Disseminate: The Computer Science Research Podcast ·

2024/03/18

In this episode, Yifei Yang introduces predicate transfer, a revolutionary method for optimizing join performance in databases. Predicate transfer builds on Bloom joins, extending its benefits to multi-table joins. Inspired by Yannakakis's theoretical insights, predicate transfer leverages Bloom filters to achieve significant speed improvements. Yang's evaluation shows an average 3.3× performance boost over Bloom join on the TPC-H benchmark, highlighting the potential of predicate transfer to

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88 results

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