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.
78 episodes transcribedSummary: In this episode, Roger Waleffe talks about Graph Neural Networks (GNNs) for large-scale graphs. Specifically, he reveals all about MariusGNN,...
Summary:The success of deep learning has sparked interest in improving relational table tasks, like data preparation and search, with table representa...
Summary:Compared to hard disk drives (HDDs), solid-state drives (SSDs) have two fundamentally different properties: (i) read/write asymmetry (writes a...
Summary:Snapshot isolation is supported by most commercial databases and is widely used by applications. However, checking, if given a set of transact...
Summary: Federated Learning (FL) enables distributed training by learners using local data, thereby enhancing privacy and reducing communication. Howe...
Summary:Log-structured merge (LSM) trees have emerged as one of the most commonly used storage-based data structures in modern data systems as they of...
Summary: The increasing need for data trading across businesses nowadays has created a demand for data marketplaces. However, despite the intentions o...
Summary: 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...
