# D4M 3.0

**Authors:** Lauren Milechin, Alexander Chen, Vijay Gadepally, Dylan Hutchison,, Siddharth Samsi, Jeremy Kepner

arXiv: 1702.03253 · 2017-02-13

## 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.

## Key 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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Source: https://tomesphere.com/paper/1702.03253