4 papers
Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale
Liang Guo, Ge Song, Litao Deng +9
Modern Deep Learning Recommendation Models (DLRMs) follow scaling laws with sequence length, driving the frontier toward ultra-long User Interaction History (UIH). However, the ind…
Data Caching for Enterprise-Grade Petabyte-Scale OLAP
Chunxu Tang, Bin Fan, Jing Zhao +18
With the exponential growth of data and evolving use cases, petabyte-scale OLAP data platforms are increasingly adopting a model that decouples compute from storage. This shift, ev…
Rethinking the Cloudonomics of Efficient I/O for Data-Intensive Analytics Applications
Chunxu Tang, Yi Wang, Bin Fan +8
This paper explores a prevailing trend in the industry: migrating data-intensive analytics applications from on-premises to cloud-native environments. We find that the unique cost…
Metadata Caching in Presto: Towards Fast Data Processing
Beinan Wang, Chunxu Tang, Rongrong Zhong +6
Presto is an open-source distributed SQL query engine for OLAP, aiming for "SQL on everything". Since open-sourced in 2013, Presto has been consistently gaining popularity in large…