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widget_custom_html>h2 classheadlineboxneutral>Simulation-based Evacuation Planning for Urban Areas/h2>div classtextwidget custom-html-widget>a hrefhttps://eurasim.github.io target_blank>img srchttps://datamanagement.cs.uni-mainz.de/files/2022/11/eurasim_logo.png width174 altEURASIM />/a>/div>/div>div idcustom_html-8 classwidget_text jgu_widget widget_custom_html>h2 classheadlineboxneutral>An Interactive Tool for Evaluating Choices and Changes in Transportation Networks/h2>div classtextwidget custom-html-widget>a hrefhttp://rramen.zdv.uni-mainz.de target_blank>img srchttps://datamanagement.cs.uni-mainz.de/files/2020/10/ramen-logo-black.png width174 altRRAMEN />/a>/div>/div>div idcustom_html-16 classwidget_text jgu_widget widget_custom_html>h2 classheadlineboxneutral>8th ACM SIGSPATIAL Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising/h2>div classtextwidget custom-html-widget>a hrefhttp://localrec.github.io/2024 target_blank>img srchttps://localrec.github.io/2024/logo1.jpg altLocalRec width174 />/a>/div>/div>/aside>/div>article idspaltemitte classcol-sm-9 col-md-6 editorcontent>a idcontent>/a>article idpost-26 classrow row-margin post-26 page type-page status-publish hentry>h1>Data Management/h1>div classentry-content>p alignjustify>Data management has become more critical and challenging than ever; modern data come in different formats, collected in enormous volumes and arrive at an extremely high ratio from multiple sources. The explosion of Big Data has revealed the need to research and develop systems that will support b>ultra-low/b> latency service and b>real-time/b> data analytics. Besides, modern data are becoming increasingly more complex as they can be routinely enriched with different and multiple types of non-traditional information such as b>space/b>, b>text/b>, b>time/b> and b>graph information/b>. A number of research challenges arise for the in-memory management of such b>composite/b> data. On one hand, we have the well-documented challenges of big data analysis, i.e., Volume, Velocity, Variety, Veracity and Complexity. In addition, strong>in-memory/strong> data systems require special techniques for indexing and laying out the data, parallel query processing, concurrency control and data flow. On the other hand, the very nature of composite data poses extra challenges. Due to their b>heterogeneity/b> and different semantics, every complex type calls for special treatment, which includes effective storage, indexing and processing./p>p alignjustify>Data Management groups research interests are in b>efficient storage/b>, b>indexing/b>, b>processing/b> and b>evaluation/b> techniques, specially tailored for complex and composite data that reside in main memory./p>p> /p>p alignright>Welcome to the Data Management research groupbr />a href//datamanagement.cs.uni-mainz.de/panagiotis-bouros/>Panagiotis Bouros, Jun.-Prof. Dr./a>strong>br />Head of the group/strong>/p>p>img fetchpriorityhigh decodingasync classalignnone size-full wp-image-239 src//datamanagement.cs.uni-mainz.de/files/2018/12/logopng.png alt width945 height831 />/p>/div>/article>/article>aside idspalterechts classcol-sm-9 col-sm-offset-3 col-md-3 col-md-offset-0 rolecomplementary>div idsearch-4 classjgu_widget widget_search>div classjgu_widget jgu_quicksearch>form methodget actionhttps://datamanagement.cs.uni-mainz.de/ idjgu_searchbox>fieldset classgroup>legend>Search in content/legend>label forjgu_searchstring>Search/label>input typetext names idjgu_searchstring classtext maxlength50 placeholderSearch required>button typesubmit classsubmit namesubmit idjgu_searchsubmit titleGo>Go/button>/fieldset>input typehidden namesearch_engine valueinternal>input typehidden namesitesearch valueuni-mainz.de>/form>/div>/div> div idrecent-posts-2 classjgu_widget widget_recent_entries> h2 classheadlineboxneutral>News/h2> ul> li> a hrefhttps://datamanagement.cs.uni-mainz.de/2025/01/07/bachelor-thesis-defense-d-scheck/>Bachelor thesis defense: Dennis Scheck/a> span classpost-date>7. January 2025/span> /li> li> a hrefhttps://datamanagement.cs.uni-mainz.de/2024/10/07/bachelor-thesis-defense-joshua-kempter/>Bachelor thesis defense: Joshua Kempter/a> span classpost-date>7. October 2024/span> /li> li> a hrefhttps://datamanagement.cs.uni-mainz.de/2024/09/24/7221/>Master thesis defense: Samia Goraya/a> span classpost-date>24. September 2024/span> /li> li> a hrefhttps://datamanagement.cs.uni-mainz.de/2024/09/09/new-publication-acm-tsas-journal/>New publication: ACM TSAS Journal/a> span classpost-date>9. September 2024/span> /li> li> a hrefhttps://datamanagement.cs.uni-mainz.de/2024/08/21/7145/>Master thesis defense: Tobias Laures/a> span classpost-date>21. August 2024/span> /li> li> a hrefhttps://datamanagement.cs.uni-mainz.de/2024/06/14/hiwi-positions-open/>strike>HiWi positions open/strike>/a> span classpost-date>14. June 2024/span> /li> li> a hrefhttps://datamanagement.cs.uni-mainz.de/2024/06/05/julius-hoffmanns-bachelor-thesis-defense/>Bachelor thesis defense: Julius Hoffmann/a> span classpost-date>5. June 2024/span> /li> li> a hrefhttps://datamanagement.cs.uni-mainz.de/2024/06/05/6713/>Bachelor thesis defense: Patrick Götz/a> span classpost-date>5. June 2024/span> /li> li> a hrefhttps://datamanagement.cs.uni-mainz.de/2024/06/05/jan-raiders-bachelor-thesis-defense/>Bachelor thesis defense: Jan Raider/a> span classpost-date>5. June 2024/span> /li> li> a hrefhttps://datamanagement.cs.uni-mainz.de/2024/06/04/paper-accepted-to-edbt-2025/>New publication: EDBT 2025/a> span classpost-date>4. June 2024/span> /li> /ul> /div>/aside>/main>footer idmain-footer classcontainer>div idfooter_pageinfos classcol-sm-4>span classsr-only>Additional information about this page/span>ul classlist-inline>li>dfn classsr-only>Page-Name:/dfn>Data Management/li>li>dfn classsr-only>Last Update:/dfn>7. 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