D4M 3.0
Lauren Milechin, Alexander Chen, Vijay Gadepally, Dylan Hutchison,, Siddharth Samsi, Jeremy Kepner
TL;DR
D4M 3.0 introduces new features and supports diverse database connectivity, graph analytics, and Julia implementation, enhancing complex data analysis capabilities for researchers.
Contribution
The paper details the latest updates and upcoming release of D4M 3.0, expanding its functionality and integration options for unstructured data analytics.
Findings
Enhanced database connectivity support
Graph analytics in Apache Accumulo
Implementation in Julia language
Abstract
The D4M tool is used by hundreds of researchers to perform complex analytics on unstructured data. Over the past few years, the D4M toolbox has evolved to support connectivity with a variety of database engines, graph analytics in the Apache Accumulo database, and an implementation using the Julia programming language. In this article, we describe some of our latest additions to the D4M toolbox and our upcoming D4M 3.0 release.
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Taxonomy
TopicsGraph Theory and Algorithms · Advanced Database Systems and Queries · Data Management and Algorithms