2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.DB2025★ 1 cited
Streaming Democratized: Ease Across the Latency Spectrum with Delayed View Semantics and Snowflake Dynamic Tables
Daniel Sotolongo, Daniel Mills, Tyler Akidau +24
Streaming data pipelines remain challenging and expensive to build and maintain, despite significant advancements in stronger consistency, event time semantics, and SQL support ove…
cs.DB2021★ 2 cited
Baihe: SysML Framework for AI-driven Databases
Andreas Pfadler, Rong Zhu, Wei Chen +4
We present Baihe, a SysML Framework for AI-driven Databases. Using Baihe, an existing relational database system may be retrofitted to use learned components for query optimization…
cs.DB2020
Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version)
Zuozhi Wang, Kai Zeng, Botong Huang +10
Incremental processing is widely-adopted in many applications, ranging from incremental view maintenance, stream computing, to recently emerging progressive data warehouse and inte…