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        <h3>Latest News</h3>
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             <li class="list-group-item">
                 <a href="/2021/10/03/oodt-191-released.html">Apache OODT 1.9.1 released</a>
             </li>

             <li class="list-group-item">
                 <a href="/2019/10/03/oodt-19-released.html">Apache OODT 1.9 released</a>
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                 <a href="/2018/02/04/oodt-121-released.html">Apache OODT 1.2.1 released</a>
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                 <a href="/2017/08/28/oodt-112-released.html">Apache OODT 1.2 released</a>
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                 <a href="/2017/07/27/oodt-110-released.html">Apache OODT 1.1 released</a>
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   <div class="container" >
 <div class="row" >

   <div class="col-md-6" >
     <h1>Disciplined Data Management</h1>
     <p>Apache Object Oriented Data Technology (OODT) is the smart way to integrate and archive your processes, your data, and its metadata.
       OODT allows you to:
       <ul>
 	<li>Generate Data</li>
 	<li>Process Data</li>
 	<li>Manage Your Data</li>
 	<li>Distribute Your Data</li>
 	<li>Analyze Your Data</li>
       </ul>
      Allowing for the integration of data, computation, visualization and other components.</p>
   </div>
   <div class="col-md-6">
   <h1>Solidify Your Data Processing</h1>
   <p>Traditional processing pipelines are commonly made up of custom UNIX shell scripts and fragile custom written glue code. Apache 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.</p>
   <p>OODT also allows for remote execution of jobs on scalable computational infrastructures so that computational and data-intensive processing can be integrated into OODT’s data processing pipelines using cloud computing and high-performance computing environments.</p>
   </div>

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     <h2>About Apache OODT</h2>
     <div style="text-align: justify;">
       <p>Having awarded in 2003 as the 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.</p>

       <p>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.</p>
     </div>

     <h2>Why Apache OODT?</h2>
     <p>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.</p>

     <h2>How OODT does that?</h2>
     <p>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.</p>
   </div>

   <div class="col-md-6">
     <h1>Use Cases</h1>
     <ul class="list-group">
       <li class="list-group-item"><a href="/staging-usecase.html">Staging Area Storage Indexing</a></li>
       <li class="list-group-item"><a href="/medical-usecase.html">Medical Record Indexing</a></li>
       <li class="list-group-item"><a href="/streaming-usecase.html">Streaming data</a></li>
     </ul>
   </div>

   <div class="col-md-6">
     <h1>Distributed Data Environments</h1>
     <p>
       Apache OODT facilitates the integration of highly distributed and heterogeneous data intensive systems enabling
       the integration of different, distributed software systems, metadata and data. OODT spans disciplines and enables
       interoperability among data agnostic systems in any field.
     </p>
     <p>
       In a world of cloud computing Apache OODT can make the most of it. With support for:
     <ul>
       <li>Grid Computing</li>
       <li>Apache Mesos</li>
     </ul>
     Developers can build highly distributed, scalable, data platforms that can process even the largest amounts of data,
     without breaking a sweat.
     </p>
   </div>

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	<h3>Catalogs, archives, metadata & more</h3>
	<br>
	<a href="/download.html" class="btn btn-dark btn-lg">Download OODT</a>
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	<h3>Latest News</h3>
	<ul class="list-group">

	<li class="list-group-item">
	<a href="/2021/10/03/oodt-191-released.html">Apache OODT 1.9.1 released</a>
	</li>

	<li class="list-group-item">
	<a href="/2019/10/03/oodt-19-released.html">Apache OODT 1.9 released</a>
	</li>

	<li class="list-group-item">
	<a href="/2018/02/04/oodt-121-released.html">Apache OODT 1.2.1 released</a>
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	<a href="/2017/08/28/oodt-112-released.html">Apache OODT 1.2 released</a>
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	<a href="/2017/07/27/oodt-110-released.html">Apache OODT 1.1 released</a>
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	<div class="container" >
	<div class="row" >

	<div class="col-md-6" >
	<h1>Disciplined Data Management</h1>
	<p>Apache Object Oriented Data Technology (OODT) is the smart way to integrate and archive your processes, your data, and its metadata.
	OODT allows you to:
	<ul>
	<li>Generate Data</li>
	<li>Process Data</li>
	<li>Manage Your Data</li>
	<li>Distribute Your Data</li>
	<li>Analyze Your Data</li>
	</ul>
	Allowing for the integration of data, computation, visualization and other components.</p>
	</div>
	<div class="col-md-6">
	<h1>Solidify Your Data Processing</h1>
	<p>Traditional processing pipelines are commonly made up of custom UNIX shell scripts and fragile custom written glue code. Apache 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.</p>
	<p>OODT also allows for remote execution of jobs on scalable computational infrastructures so that computational and data-intensive processing can be integrated into OODT’s data processing pipelines using cloud computing and high-performance computing environments.</p>
	</div>

	</div>
	<div class="row" >
	<div class="col-md-8 col-md-offset-2">
	<img class="img-responsive" src="img/oodt-diag.png"/>
	</div>
	</div>

	<div class="row" >

	<div class="col-md-12">
	<h2>About Apache OODT</h2>
	<div style="text-align: justify;">
	<p>Having awarded in 2003 as the 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.</p>

	<p>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.</p>
	</div>

	<h2>Why Apache OODT?</h2>
	<p>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.</p>

	<h2>How OODT does that?</h2>
	<p>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.</p>
	</div>

	<div class="col-md-6">
	<h1>Use Cases</h1>
	<ul class="list-group">
	<li class="list-group-item"><a href="/staging-usecase.html">Staging Area Storage Indexing</a></li>
	<li class="list-group-item"><a href="/medical-usecase.html">Medical Record Indexing</a></li>
	<li class="list-group-item"><a href="/streaming-usecase.html">Streaming data</a></li>
	</ul>
	</div>

	<div class="col-md-6">
	<h1>Distributed Data Environments</h1>
	<p>
	Apache OODT facilitates the integration of highly distributed and heterogeneous data intensive systems enabling
	the integration of different, distributed software systems, metadata and data. OODT spans disciplines and enables
	interoperability among data agnostic systems in any field.
	</p>
	<p>
	In a world of cloud computing Apache OODT can make the most of it. With support for:
	<ul>
	<li>Grid Computing</li>
	<li>Apache Mesos</li>
	</ul>
	Developers can build highly distributed, scalable, data platforms that can process even the largest amounts of data,
	without breaking a sweat.
	</p>
	</div>

	</div>

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