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.
71 episodes transcribedSummary: Sorting is one of the most well-studied problems in computer science and a vital operation for relational database systems. Despite this, lit...
Summary: In this episode Semih Salihoğlu tell us about Kùzu, an in-process property graph database management system built for query speed and scalabi...
Summary:Today’s storage landscape offers a deep and heterogeneous stack of technologies that promises to meet even the most demanding data intensive w...
Summary:Today’s organizations utilize a plethora of heterogeneous and autonomous DBMSes, many of those being spread across different geo-locations. It...
Summary:This week Paras Jain and Sarah Wooders tell us about how you can quickly data transfers between any cloud with Skyplane. Tune in to learn...
Summary: Many database applications execute transactions under a weaker isolation level, such as READ COMMITTED. This often leads to concurrency bugs...
Summary: Agreement protocols have been extensively used by distributed data management systems to provide robustness and high availability. The broad...
Summary: Many distributed cloud OLTP databases have settled on a shared-storage design coupled with a single-writer. This design choice is remarkable...
Summary:In this episode, Hamish Nicholson tells us about HetCache, a storage engine for analytical workloads that optimizes the data access paths and...
Summary:Few to zero DBMSs provide extensibility together with implementations of modern concepts, like query compilation for example. This as an imped...
Summary: Recent shell-script parallelization systems enjoy mostly automated speedups by parallelizing scripts ahead-of-time. Unfortunately, such stati...
Summary: Cloud stacks must isolate application components, while permitting efficient data sharing between components deployed on the same physical ho...
Summary: Far-memory techniques that enable applications to use remote memory and are increasingly appealing in modern data centers, supporting applica...
Summary: In this episode Lexiang Huang talks about a framework for understanding a class of failures in distributed systems called metastable fai...
Summary: Debugging is time-consuming, accounting for roughly 50% of a developer's time. In this episode Andrew Quinn tells us about the OmniTable, an...
Summary: This episode features Audrey Cheng talking about TAOBench, a new benchmark that captures the social graph workload at Meta. Audrey tells us a...
Summary: Users have the right to consent to the use of their data, but current methods are limited to very coarse-grained expressions of consent, as “...
Summary (VLDB abstract):Despite the wide adoption of graph processing across many different application domains, there is no underlying data structure...
Summary (VLDB abstract):Single-node multi-core stream processing engines (SPEs) can process hundreds of millions of tuples per second. Yet making them...
Summary: In this episode Kevin Gaffney tells us about SQLite, the most widely deployed database engine in existence. SQLite is found in nearly every s...
