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Florian Lautenschlager
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Fixes #24
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_includes/publications.html

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@@ -16,20 +16,27 @@ <h2>Publications</h2>
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<br>
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<h4>2016</h4>
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<ul>
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<li>Chronix – A fast and efficient time series storage based on Apache Solr, Open Source Data Center
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Conference, 2016,
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<a href="https://speakerdeck.com/florian_lautenschlager/chronix-a-fast-and-efficient-time-series-storage-based-on-apache-solr">Slides</a></li>
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<li>Chronix as long term storage for Prometheus, Cloud Native Conference, 2016,
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<a href="http://www.slideshare.net/QAware/chronix-as-longterm-storage-for-prometheus">Slides</a>
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<a href="https://www.youtube.com/watch?v=4fhXSgRmLHM&list=PLj6h78yzYM2PqgIGU1Qmi8nY7dqn9PCr4&index=62">Recording</a>
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</li>
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<li>Time Series Processing with Solr and Spark, Lucene Revolution, 2016,
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<a href="http://www.slideshare.net/QAware/time-series-analysis-67281407">Slides</a>
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</li>
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<li>The new time series kid on the block, Apache Big Data North America, 2016,
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<a href="https://speakerdeck.com/florian_lautenschlager/the-new-time-series-kid-on-the-block">Slides</a>
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</li>
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<li>Time Series Processing with Apache Spark, Apache Big Data North America, 2016,
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<a href="http://www.slideshare.net/adersberger/time-series-processing-with-apache-spark">Slides</a>
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</li>
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<li>Chronix – A fast and efficient time series storage based on Apache Solr, Open Source Data Center
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Conference, 2016,
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<a href="https://speakerdeck.com/florian_lautenschlager/chronix-a-fast-and-efficient-time-series-storage-based-on-apache-solr">Slides</a>
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</li>
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</ul>
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<h4>2015</h4>
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<ul>
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<li>Fast and efficient operational time series storage: The missing link in dynamic software
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analysis, Symposium on Software Performance, 2015,
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<a href="http://www.performance-symposium.org/fileadmin/user_upload/palladio-conference/2015/slides/06_FLautenschlager.pdf">Slides</a>

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