Apache OODT runs a mailing list for general communication and development chat. To ask questions about Apache OODT join the firstname.lastname@example.org mailing list and say hello!
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!
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!
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.
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.
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.
The PMC provides management and governance of the project. The canonical list is always available here.Andrew Hart
Mentors are long-term Apache members that provided guidance to our project during its Incubation.Justin Erenkrantz