96 citations · 213 across the 21 of their papers we have counts for
8 papers · 1 filter
Technical Report on Data Integration and Preparation
El Kindi Rezig, Michael Cafarella, Vijay Gadepally
AI application developers typically begin with a dataset of interest and a vision of the end analytic or insight they wish to gain from the data at hand. Although these are two ver…
Technical Report: Developing a Working Data Hub
Vijay Gadepally, Jeremy Kepner
Data forms a key component of any enterprise. The need for high quality and easy access to data is further amplified by organizations wishing to leverage machine learning or artifi…
AI Data Wrangling with Associative Arrays
Jeremy Kepner, Vijay Gadepally, Hayden Jananthan +2
The AI revolution is data driven. AI "data wrangling" is the process by which unusable data is transformed to support AI algorithm development (training) and deployment (inference)…
RedisGraph GraphBLAS Enabled Graph Database
Pieter Cailliau, Tim Davis, Vijay Gadepally +4
RedisGraph is a Redis module developed by Redis Labs to add graph database functionality to the Redis database. RedisGraph represents connected data as adjacency matrices. By repre…
A Billion Updates per Second Using 30,000 Hierarchical In-Memory D4M Databases
Jeremy Kepner, Vijay Gadepally, Lauren Milechin +15
Analyzing large scale networks requires high performance streaming updates of graph representations of these data. Associative arrays are mathematical objects combining properties…
Database Operations in D4M.jl
Lauren Milechin, Vijay Gadepally, Jeremy Kepner
Each step in the data analytics pipeline is important, including database ingest and query. The D4M-Accumulo database connector has allowed analysts to quickly and easily ingest to…