Results 91 to 100 of about 2,026,606 (113)
GRAD: On Graph Database Modeling [PDF]
Graph databases have emerged as the fundamental technology underpinning trendy application domains where traditional databases are not well-equipped to handle complex graph data. However, current graph databases support basic graph structures and integrity constraints with no standard algebra.
arxiv
Database Theory + X: Database Visualization [PDF]
We draw a connection between data modeling and visualization, namely that a visualization specification defines a mapping from database constraints to visual representations of those constraints. Using this formalism, we show how many visualization design decisions are, in fact, data modeling choices and extend data visualization from single-dataset ...
arxiv
Corra: Correlation-Aware Column Compression
Column encoding schemes have witnessed a spark of interest with the rise of open storage formats (like Parquet) in data lakes in modern cloud deployments.
Kipf, Andreas+3 more
core
GTX: A Write-Optimized Latch-free Graph Data System with Transactional Support
This paper introduces GTX a standalone main-memory write-optimized graph system that specializes in structural and graph property updates while maintaining concurrent reads and graph analytics with snapshot isolation-level transactional concurrency ...
Aref, Walid. G.+3 more
core
The ATLAS experience with databases for structured data with temporal and hierarchical order [PDF]
Barros, N
core +1 more source
The ubiquity of variable-length integers in data storage and communication necessitates efficient decoding techniques. In this paper, we present SFVInt, a simple and fast approach to decode the prevalent Little Endian Base-128 (LEB128) varints.
Cai, Le+4 more
core
Curator: Efficient Indexing for Multi-Tenant Vector Databases
Vector databases have emerged as key enablers for bridging intelligent applications with unstructured data, providing generic search and management support for embedding vectors extracted from the raw unstructured data.
Hu, Wenjun+5 more
core
Demonstration of MaskSearch: Efficiently Querying Image Masks for Machine Learning Workflows
We demonstrate MaskSearch, a system designed to accelerate queries over databases of image masks generated by machine learning models. MaskSearch formalizes and accelerates a new category of queries for retrieving images and their corresponding masks ...
Balazinska, Magdalena+5 more
core
LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency
Query rewrite, which aims to generate more efficient queries by altering a SQL query's structure without changing the query result, has been an important research problem.
Bing, Lidong+4 more
core
Large Language Models (LLMs) can automate or substitute different types of tasks in the software engineering process. This study evaluates the resource utilization and accuracy of LLM in interpreting and executing natural language queries against ...
Khedri, Khatoon+2 more
core