Community

Apache OODT has a dedicated community based globally. To keep in contact they make use of a variety of tools.

Mailing Lists

Apache OODT runs a mailing list for general communication and development chat. To ask questions about Apache OODT join the dev@oodt.apache.org mailing list and say hello!

IRC

We also have an OODT IRC channel for real time OODT discussion, you can find this on Freenode at #oodt.

If you don't haven an IRC client installed, you can still join the channel using the webchat to stop by and introduce yourself!

Blog

Keep up to date with News, Events and Tips and Tricks with our new blog.

Similarly, if you have any OODT releated news, or interesting blog content, pop by our mailing list and tell us, we're always looking for interesting articles!

Social Media

Follow our twitter account!


Join our facebook group!

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If you use Google Plus you can find our community here!

What is it?

Awarded 2003 NASA Software of the Year, Apache Object Oriented Data Technology (OODT) began at the Jet Propulsion Laboratory, in operations cataloging pictures of Mars and helping to detect cancer. Apache OODT is smart, open source software for science, research, or otherwise.

Apache OODT is the superior way to integrate and archive your processes, your data, and its metadata. It spans scientific and other disciplines and enable interoperability among data agnostic systems in the varying fields. Using OODT's framework of distributed objects and databases, the data collected by scientists and engineers in disparate disciplines can be jointly searched, stored, retrieved, and analyzed. It facilitates the creation, acquisition, and growth of data management and archiving systems.

Why use it?

OODT is deployed operationally in:
  • DARPA's XDATA Presidential Big Data Initiative
  • NASA's Airborne Snow Observatory demonstration mission.
  • NASA's Carbon in Arctic Reservoirs Vulnerability Experiment
  • National Cancer Institute's Early Detection Research Network
  • NASA's Orbiting Carbon Observatory
  • The Sinai-Helmsley Alliance for Research Excellence data coordinating center project
  • MIT Haystack Observatory
  • NASA's Megacities Carbon Project
  • Children's Hospital of Los Angeles's Virtual Pediatric Intensive Care Unit
  • The Planetary Data System
  • NASA's Orbiting Carbon Observatory-2
  • NASA's Soil Moisture Active/Passive mission
  • The Square Kilometre Array South Africa project
  • NASA's Seawinds/QuickSCAT mission
  • and many more...
  • Processing pipelines are too often one-off custom solutions that fail to scale and evolve as systems evolve. Moreover, archived data undergoes a kind of atrophy as the tools used to analyze and process it are themselves one-off solutions with no maintenance. These haphazard approaches achieve only short term success, but are not effective in data search, discovery, analysis, cataloging, processing, or archiving. OODT replaces these manual, forgettable steps with reliable workflows through distributed data grids. OODT ensures the usability and value of data even after original developers move on.

    How?

    Haphazard processing pipelines are commonly made up of custom UNIX shell scripts and/or fragile custom written glue code of Java, Python, and Perl. OODT uses structured XML-based capturing of the processing pipeline that can be understood and modified by non-programmers to create, edit, manage and provision workflow and task execution.

    Prerequisites

    Operating Systems

    • UNIX (Linux, OS/X, Solaris, BSD, etc.)
    • Windows with Cygwin

    Software

    • Java and/or Python
    • Maven

    Knowledge

    • XML
    • Java and/or Python (in order to customize and extend)

Project Management Committee

The PMC provides management and governance of the project. The canonical list is always available here.

Andrew Hart
Angela Wang
Brian Foster
Bruce Barkstrom
Chris
Dan Crichton
David Kale
Dana J Freeborn
Gabriel Resneck
Gavin McDonald
Cameron Goodale
Ian Holsman
Joshua Garcia
Michael James Joyce
John Steven Hughes
Sean Kelly
Lewis John McGibbney
Luca Cinquini
Tom Barber
Chris Mattmann
Michael Cayanan
Nga Thien Chung
Paul Ramirez
Paul Vee
Paul Zimdars
Radu Manole
Ricky Nguyen
Rishi Verma
Ross Laidlaw
Sean Hardman
Sheryl John
Rajith Siriwardana
Shakeh Elisabeth Khudikyan
Sean McCleese
Sam Park
Michael Starch
Sujen Shah
Arni Sumarlidason
Thomas Bennett
Tyler Bui-Palsulich
Varun Ratnakar
Val Mallder
Billy Webb
David Woollard

(Former) Apache Incubator Mentors

Mentors are long-term Apache members that provided guidance to our project during its Incubation.

Justin Erenkrantz
Ross Gardler
Ian Holsman
Jean-Frederic Clere
Chris Mattmann