CedarDB wants one database to handle both transactions and analytics, as AI agents raise the stakes
Databases have traditionally been designed either for analytical data or for operational data. But database engine CedarDB supports both, and its ap…
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The DelightQL Query Language
Hey all, I would like to present a programming language I have been developing for many years called delightql. This is an alpha release so there wi…
DataCube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals (1997)
Abstract: Data analysis applications typically aggregate data across many dimensions looking for anomalies or unusual patterns. The SQL aggregate fu…
JSON Tiles: Fast Analytics on Semi-Structured Data (2021)
Abstract: Developers often prefer flexibility over upfront schema design, making semi-structured data formats such as JSON increasingly popular. Lar…
DIFF: A Relational Interface for Large-Scale Data Explanation
Abstract: A range of explanation engines assist data analysts by performing feature selection over increasingly high-volume and high-dimensional dat…
Efficient and accurate systems for querying unstructured data
Abstract: (shortened) In recent years, automatic analysis over this unstructured data has become possible via machine learning (ML). Analysts can us…
The Dataflow Model Revisited
Abstract Eleven years ago, the Dataflow Model paper argued that unbounded, out-of-order data was the new normal, and that we must stop waiting for d…