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  <doc>
    <id>3731</id>
    <completedYear/>
    <publishedYear>2018</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1605</pageFirst>
    <pageLast>1608</pageLast>
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    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
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    <title language="eng">Curating Variational Data in Application Development</title>
    <abstract language="eng">Building applications for processing data lakes is a software engineering challenge. We present Darwin, a middleware for applications that operate on variational data. This concerns data with heterogeneous structure, usually stored within a schema-flexible NoSQL database. Darwin assists application developers in essential data and schema curation tasks: Upon request, Darwin extracts a schema description, discovers the history of schema versions, and proposes mappings between these versions. Users of Darwin may interactively choose which mappings are most realistic. Darwin is further capable of rewriting queries at runtime, to ensure that queries also comply with legacy data. Alternatively, Darwin can migrate legacy data to reduce the structural heterogeneity. Using Darwin, developers may thus evolve their data in sync with their code. In our hands-on demo, we curate synthetic as well as real-life datasets.</abstract>
    <parentTitle language="eng">2018 IEEE 34th International Conference on Data Engineering, 16-19 April 2018, Paris, France</parentTitle>
    <identifier type="doi">10.1109/ICDE.2018.00187</identifier>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Uta Störl</author>
    <author>Daniel Müller</author>
    <author>Alexander Tekleab</author>
    <author>Stephane Tolale</author>
    <author>Julian Stenzel</author>
    <author>Meike Klettke</author>
    <author>Stefanie Scherzinger</author>
    <author>Uta Storl</author>
    <author>Daniel Muller</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>data migration</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Data mining</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Evolution (biology)</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>history</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>NoSQL databases</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>query rewriting</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>schema evolution</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>schema management</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Software</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Task analysis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>variational data</value>
    </subject>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
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  <doc>
    <id>3778</id>
    <completedYear/>
    <publishedYear>2018</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1662</pageFirst>
    <pageLast/>
    <pageNumber/>
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    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
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    <title language="eng">In for a Surprise When Migrating NoSQL Data</title>
    <abstract language="eng">Schema-flexible NoSQL data stores lend themselves nicely for storing versioned data, a product of schema evolution. In this lightning talk, we apply pending schema changes to records that have been persisted several schema versions back. We present first experiments with MongoDB and Cassandra, where we explore the trade-off between applying chains of pending changes stepwise (one after the other), and as composite operations. Contrary to intuition, composite migration is not necessarily faster. The culprit is the computational overhead for deriving the compositions. However, caching composition formulae achieves a speed up: For Cassandra, we can cut the runtime by nearly 80%. Surprisingly, the relative speedup seems to be system-dependent. Our take away message is that in applying pending schema changes in NoSQL data stores, we need to base our design decisions on experimental evidence rather than on intuition alone.</abstract>
    <parentTitle language="eng">2018 IEEE 34th International Conference on Data Engineering (ICDE), 16-19 April 2018, Paris, France</parentTitle>
    <identifier type="doi">10.1109/ICDE.2018.00202</identifier>
    <enrichment key="opus.import.date">2022-04-28T19:28:04+00:00</enrichment>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Uta Störl</author>
    <author>Alexander Tekleab</author>
    <author>Meike Klettke</author>
    <author>Stefanie Scherzinger</author>
    <author>Uta Storl</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>composite migration</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Conferences</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Data engineering</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>data migration</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Indexes</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Lightning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>NoSQL databases</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Runtime</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>schema evolution</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Tools</value>
    </subject>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
  </doc>
  <doc>
    <id>4654</id>
    <completedYear/>
    <publishedYear>2018</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>557</pageFirst>
    <pageLast>560</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>289</volume>
    <type>conferenceobject</type>
    <publisherName>GI - Gesellschaft für Informatik</publisherName>
    <publisherPlace>Bonn</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
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    <title language="eng">jHound: Large-Scale Profiling of Open JSON Data</title>
    <abstract language="eng">We present jHound, a tool for profiling large collections of JSON data, and apply it to thousands of data sets holding open government data. jHound reports key characteristics of JSON documents, such as their nesting depth. As we show, jHound can help detect structural outliers, and most importantly, badly encoded documents: jHound can pinpoint certain cases of documents that use string-typed values where other native JSON datatypes would have been a better match. Moreover, we can detect certain cases of maladaptively structured JSON documents, which obviously do not comply with good data modeling practices. By interactively exploring particular example documents, we hope to inspire discussions in the community about what makes a good JSON encoding.</abstract>
    <parentTitle language="deu">Datenbanksysteme für Business, Technologie und Web (BTW 2019), 18. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS) : 4.-8. März 2019 in Rostock</parentTitle>
    <identifier type="isbn">978-3-88579-683-1</identifier>
    <identifier type="url">https://btw.informatik.uni-rostock.de/index.php/de/tagungsbaende/send/3-tagungsbaende/tagungsband.pdf</identifier>
    <enrichment key="opus.import.date">2022-07-03T14:30:54+00:00</enrichment>
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    <author>Mark Lukas Möller</author>
    <author>Nicolas Berton</author>
    <author>Meike Klettke</author>
    <author>Stefanie Scherzinger</author>
    <author>Uta Störl</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Datenerhebung</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Datenformat</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Datenmodell</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Eigenschaftskennwert</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Hauptspeicher</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Histogramm</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Zeitüberwachung</value>
    </subject>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
  </doc>
  <doc>
    <id>1382</id>
    <completedYear/>
    <publishedYear>2018</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>98</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>periodicalpart</type>
    <publisherName/>
    <publisherPlace>Regensburg</publisherPlace>
    <creatingCorporation>Ostbayerische Technische Hochschule Regensburg</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Forschung 2018</title>
    <identifier type="isbn">978-3-9818209-5-9</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-13826</identifier>
    <identifier type="doi">10.35096/othr/pub-1382</identifier>
    <author>Christian Broser</author>
    <author>Thomas Falter</author>
    <author>Robert Damian Ławrowski</author>
    <author>Amelie Altenbuchner</author>
    <author>Daniel Vögele</author>
    <author>Claus Koss</author>
    <author>Matthias Schlamp</author>
    <author>Jan Dunnweber</author>
    <author>Oliver Steffens</author>
    <author>Markus Heckner</author>
    <author>Sabine Jaritz</author>
    <author>Thomas Schiegl</author>
    <author>Sabine Corsten</author>
    <author>Norina Lauer</author>
    <author>Katherine Guertler</author>
    <author>Eric Koenig</author>
    <author>Sonja Haug</author>
    <author>Dominik Huber</author>
    <author>Clemens Birkenmaier</author>
    <author>Lars Krenkel</author>
    <author>Thomas Wagner</author>
    <author>Xenia Justus</author>
    <author>Sean Patrick Saßmannshausen</author>
    <author>Nadine Kleine</author>
    <author>Karsten Weber</author>
    <author>Carina N. Braun</author>
    <author>Giuliano Giacoppo</author>
    <author>Michael Heinrich</author>
    <author>Tobias Just</author>
    <author>Thomas Schreck</author>
    <author>Andreas Schnabl</author>
    <author>Amador Téran Gilmore</author>
    <author>Samuel Roeslin</author>
    <author>Sandra Schmid</author>
    <author>Felix Wellnitz</author>
    <author>Sebastian Malz</author>
    <author>Andreas Maurial</author>
    <author>Florian Hauser</author>
    <author>Jürgen Mottok</author>
    <author>Meike Klettke</author>
    <author>Stefanie Scherzinger</author>
    <author>Uta Störl</author>
    <author>Markus Heckner</author>
    <author>Alexander Bazo</author>
    <author>Christian Wolff</author>
    <author>Andreas Kopper</author>
    <author>Markus Westner</author>
    <author>Christian Pongratz</author>
    <author>Ingo Ehrlich</author>
    <author>Ulrich Briem</author>
    <author>Sebastian Hederer</author>
    <author>Marcus Wagner</author>
    <author>Moritz Schillinger</author>
    <author>Julien Görlach</author>
    <author>Stefan Hierl</author>
    <author>Marco Siegl</author>
    <author>Christoph Langer</author>
    <author>Matthias Hausladen</author>
    <author>Rupert Schreiner</author>
    <author>Matthias Haslbeck</author>
    <author>Reinhard Kreuzer</author>
    <author>Oliver Brückl</author>
    <author>Belal Dawoud</author>
    <author>Hans-Peter Rabl</author>
    <author>Bernd Gamisch</author>
    <author>Ottfried Schmidt</author>
    <author>Michael Heberl</author>
    <author>Bianca Gänsbauer</author>
    <author>Werner Bick</author>
    <author>Andreas Ellermeier</author>
    <author>Gareth J. Monkman</author>
    <author>Nina Prem</author>
    <author>Dirk Sindersberger</author>
    <author>Karl Tschurtschenthaler</author>
    <author>Maximilian Aurbach</author>
    <author>Sebastian Dendorfer</author>
    <author>Michael A. Betz</author>
    <author>Tamara Szecsey</author>
    <author>Wolfgang Mauerer</author>
    <author>Florian Murr</author>
    <series>
      <title>Forschungsberichte der OTH Regensburg</title>
      <number>2018</number>
    </series>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Forschung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Forschungsbericht</value>
    </subject>
    <collection role="institutes" number="HL">Hochschulleitung/Hochschulverwaltung</collection>
    <collection role="othpublikationsherkunft" number="">Von der OTH Regensburg herausgegeben</collection>
    <collection role="persons" number="weberlate">Weber, Karsten (Prof. Dr.) - Labor für Technikfolgenabschätzung und Angewandte Ethik</collection>
    <collection role="institutes" number="IAFW">Zentrum für Forschung und Transfer (ZFT ab 2024; vorher: IAFW)</collection>
    <collection role="persons" number="bruecklfenes">Brückl, Oliver (Prof. Dr.) - FENES / Forschungsgruppe Energienetze</collection>
    <collection role="persons" number="hauglasofo">Haug, Sonja (Prof. Dr.) - Labor Empirische Sozialforschung</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/1382/Forschung-OTHR_2018.pdf</file>
  </doc>
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