1 citations · 1 across the 6 of their papers we have counts for
6 papers
Not Your Usual Type(s): Data contracts as types across languages and engines
Aldrin Montana, Colin Marc, Luca Bigon +1
Composable data systems promise to let developers combine languages, engines, and catalogs without sacrificing a coherent user experience. In practice, however, pipeline-node bound…
GitLake: Git-for-data for the agentic lakehouse
Weiming Sheng, Jinlang Wang, Manuel Barros +3
We present GitLake, a Git-for-data design for an agent-first lakehouse. The system lifts single-table Iceberg snapshots into lakehouse-wide commits, branches, and merges, letting a…
Building a Correct-by-Design Lakehouse. Data Contracts, Versioning, and Transactional Pipelines for Humans and Agents
Weiming Sheng, Jinlang Wang, Manuel Barros +3
Lakehouses are now the default substrate for analytics and AI, but they remain fragile under concurrent, untrusted change: schema mismatches often surface only at runtime, developm…
Mycelium: A Transformation-Embedded LSM-Tree
Holly Casaletto, Jeff Lefevre, Aldrin Montana +1
Compaction is a necessary, but often costly background process in write-optimized data structures like LSM-trees that reorganizes incoming data that is sequentially appended to log…
A Moveable Beast: Partitioning Data and Compute for Computational Storage
Aldrin Montana, Yuanqing Xue, Jeff LeFevre +4
Over the years, hardware trends have introduced various heterogeneous compute units while also bringing network and storage bandwidths within an order of magnitude of memory subsys…
Mapping Datasets to Object Storage System
Xiaowei, Chu, Jeff LeFevre +5
Access libraries such as ROOT and HDF5 allow users to interact with datasets using high level abstractions, like coordinate systems and associated slicing operations. Unfortunately…