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Add Industry Session info (snowflake). Add program pdf.
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tzerefos committed Jun 27, 2024
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<a href="posters.html"><b>POSTERS</b></a>
<a href="index.html#committee"><b>ORGANIZATION</b></a>
<a href="index.html#registration"><b>REGISTRATION</b></a>
<a href="index.html#social_event"><b>SOCIAL EVENT</b></a>
<!-- <a href="index.html#student_awards"><b>STUDENT AWARDS</b></a> -->
<a href="../history.html"><b>HISTORY</b></a>
<a href="index.html#sponsors"><b>SPONSORS</b><a>
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<tr>
<td class="program-sessions">3:00 - 3:30pm</td>
<td class="program-sessions"><b>Keynote 2: <i>Robust Query Optimization in the Era of Machine Learning</i></b>, Verena Kantere (Univeristy of Ottawa)
<td class="program-sessions"><b>Keynote 2: <i>Robust Query Optimization in the Era of Machine Learning</i></b>,
<br>Verena Kantere (Univeristy of Ottawa)
<br> <a class="toggle-abstract" onclick="toggleAbstract('abstract-k2')">Click to display the abstract and bio</a>
<span class="paper-abstract" id="abstract-k2">
<b>Abstract:</b> Query optimizers are an essential component of database management systems (DBMSs) as they search for an execution plan that is expected to be optimal for a given query. However, they commonly use parameter estimates that are often inaccurate and make assumptions that may not hold in practice. Consequently, the optimizer may select sub-optimal execution plans at runtime, when these estimates and assumptions are not valid, which may result in poor query performance. Therefore, query optimizers do not adequately support the robustness of the database system. In this talk, we will explore the notion of robustness in the context of query optimization, as well as how it is evaluated or supported. We focus on comparing traditional cost-model-based methods with modern ML-based techniques in terms of their ability to tackle the challenge of robustness in query optimization. In this context we will discuss briefly recent research results on the creation of robust ML-based query optimization techniques in the M2oDA lab (<a href="https://www.verenakantere.com/moda/home.html">https://www.verenakantere.com/moda/home.html</a>).
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<td class="program-sessions">3:30 - 4:00pm</td>
<td class="program-sessions"> <b>Industry Session</b> </td>
<!-- <td class="program-sessions">3:30 - 4:00pm</td> -->
<td class="program-session-breaks" colspan="2"> <b>Industry Session</b> </td>
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<tr>
<td class="program-sessions">3:30 - 3:45pm</td>
<td class="program-sessions"> <b>Industry Session 1: (TBD)</b> </td>
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<td class="program-sessions">3:45 - 4:00pm</td>
<td class="program-sessions"> <b>Industry Session 2: <i>Snowflake Engineering in Berlin</i></b>,
<br>Kostas Kloudas, Kostas Zoumpatianos (Snowflake)
<br> <a class="toggle-abstract" onclick="toggleAbstract('abstract-is2')">Click to display the abstract and bio</a>
<span class="paper-abstract" id="abstract-is2">
<b>Abstract:</b> Snowflake Berlin will soon celebrate its sixth anniversary, marking a significant milestone in our evolution as Snowflake’s first engineering hub in Europe. In October 2018, Snowflake founders Benoit Dageville and Thierry Cruanes established Snowflake Berlin together with two principal engineers, Max Heimel and Martin Hentschel, who relocated from the USA to anchor our third engineering site. Since then, Snowflake Berlin has experienced remarkable organic growth to over 100 employees and is integral to Snowflake’s continued success. Our modern office is situated in central Berlin at Potsdamer Platz. We not only work hard, but play hard! Come to our talk to learn more about the key initiatives from the Snowflake Berlin team.
<br/><br/>
<b>Bio:</b> Kostas Kloudas has been a Senior Software Engineer at Snowflake Berlin since 2021. Prior to that he was a Software Engineer at Ververica (the company behind Apache Flink) working on Apache Flink for which he is a PMC, a PostDoc at Istituto Tecnico Superior in Lisbon, Portugal, as well as the University of Lisbon. He holds a PhD from Inria in Rennes, France and a BEng from NTUA.
<b>Bio:</b> Kostas Zoumpatianos has been a Senior Software Engineer at Snowflake Berlin since 2020. Prior to that he was a PostDoc and Marie Curie Fellow at Harvard University and Universitè Paris Citè. He holds a PhD from the University of Trento in Italy, and BEng and MSc degrees from the University of the Aegean.
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<td class="program-sessions">3:45 - 4:00pm</td>
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<td class="program-sessions">9:30 - 10:00am</td>
<td class="program-sessions"> <b> Keynote 3: <i>Data Management innovation at Amazon Web Services</i></b>, Ippokratis Pandis (Amazon Web Services)
<td class="program-sessions"> <b> Keynote 3: <i>Data Management innovation at Amazon Web Services</i></b>,
<br>Ippokratis Pandis (Amazon Web Services)
<br> <a class="toggle-abstract" onclick="toggleAbstract('abstract-k3')">Click to display the abstract and bio</a>
<span class="paper-abstract" id="abstract-k3">
<b>Abstract:</b> Η Amazon Web Services είναι η μεγαλύτερη παροχος υπηρεσιών διαχείρισης δεδομένων στον κόσμο, παρόλο που ξεκίνησε να παρέχει τέτοιες υπηρεσίες μόλις το 2011. Σε αυτή την ομιλία θα προσπαθήσουμε να εξηγήσουμε κάποιες από τις αιτίες πίσω από αυτή την επιτυχία. Αρχικά θα μιλήσουμε για την ανατομία μιας υπηρεσίας διαχείρισης δεδομένων στο cloud, και μετά θα δείξουμε ότι το AWS πρωτοπορεί κ συνεχώς δημιουργεί σε όλα τα στρώματα αυτών των συστημάτων.
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