Bio

Kostas Tzoumas co-founded and has been the CEO of data Artisans (recently renamed to Ververica) since 2014. data Artisans was founded by the original creators of Apache Flink to bring the technology to the market, and recently joined forces with Alibaba Group to further accelerate the technological innovation and community growth in Apache Flink. Before founding data Artisans Kostas received a PhD from Aalborg University and was a postdoctoral researcher at the Technical University of Berlin.

Bio

Anastasia Ailamaki is a Professor of Computer Sciences at the Ecole Polytechnique Federale de Lausanne (EPFL) in Switzerland and the co-founder of RAW Labs SA, a swiss company developing real-time analytics infrastructures for heterogeneous big data. Her research interests are in data-intensive systems and applications, and in particular (a) in strengthening the interaction between the database software and emerging hardware and I/O devices, and (b) in automating data management to support computationally- demanding, data-intensive scientific applications. She has received an ERC Consolidator Award (2013), a Finmeccanica endowed chair from the Computer Science Department at Carnegie Mellon (2007), a European Young Investigator Award from the European Science Foundation (2007), an Alfred P. Sloan Research Fellowship (2005), an NSF CAREER award (2002), and ten best-paper awards in database, storage, and computer architecture conferences. She holds a Ph.D. in Computer Science from the University of Wisconsin-Madison in 2000. She is an ACM fellow, an IEEE fellow, the Laureate for the 2018 Nemitsas Prize in Computer Science, and an elected member of the Swiss National Research Council. She has served as a CRA-W mentor, and is a member of the Expert Network of the World Economic Forum.

Bio

Panos Papadopoulos is a partner at Marathon Venture Capital and has supported some of the finest IT infrastructure companies that have emerged from Greece like Lenses.io, Netdata & InAccel. Panos will walk us through what it takes to build a successful infrastructure company and the journey of a technical founder to successful CEO. Himself is an engineer who walked the path from software developer to CEO to venture capitalist.

Bio

Christoforos Kachris is the founder and CEO of InAccel that helps companies speedup their applications using hardware accelerators (FPGAs) in the cloud or on-prem. He is the editor of the book Hardware Accelerators in Data Centers and he is the co-author of more than 70 peer-reviewed papers on highly ranked conferences and journals. He has over 15 years of experience on FPGAs, hardware accelerators heterogeneous computing and he has attracted more than $3m funding for European research projects and startups.

Bio

Costa Tsaousis is the founder and CEO of Netdata, an innovative real-time performance monitoring solution for Linux infrastructures of all sizes. He is working with the Netdata team to build both a robust monitoring agent with an engaged open-source community and a complimentary SaaS platform that helps enterprises manage their monitoring at scale. Before Netdata, Costa worked for 25 years in the online IT services industry, as a C-level executive, assisting disruptors like Viva.gr, Viva Wallet, and Hellas Online become challengers, using technology. Costa is also the founder of FireHOL, a “firewall for humans” that builds secure, stateful firewalls from easy to understand, human-readable configurations.

Bio

Peter Triantafillou is Professor of Data Systems and Head of the Data Sciences Theme at the Department of Computer Science at the University of Warwick, Fellow of the Alan Turing Institute (UK's leading National Institute on Data Science and AI) where he established and leads the group on "Machine Learning By Systems for Systems", member of the Advisory Board of the Urban Big Data Research Centre (a national infrastructure for urban data services and analytics), and Honorary Senior Research Fellow at the School of Computing Science at the University of Glasgow. Peter's papers have received numerous awards, including the "test of time", most influential paper award in ACM DEBS 2019 Conference, the best student paper award at IEEE Big Data 2018, the best paper award at the ACM SIGIR 2016 Conference and the best paper award at the ACM CIKM 2006 Conference. Peter has served in the Technical Program Committees of more than 120 international conferences and has been the PC Chair or Vice-chair in several prestigious conferences. Peter is a co-designer of several innovative systems (such as the MINERVA decentralized search engine, the eXO decentralized social networking system, and the on-going DBEst system for approximate query processing). Currently, Peter's interests are in scalable, efficient and inferentially-accurate analytics, in large-scale data infrastructures, and in ML for Data Systems and Data Systems for ML.

Bio

Ippokratis Pandis is a Senior Principal Engineer at Amazon Web Services, currently working on Amazon Redshift. Redshift is Amazon's fully managed, petabyte-scale data warehouse service. Ippokratis is the architect of the Redshift Spectrum and Redshift Concurrency Scaling features. Redshift Spectrum enables running Redshift SQL queries against very large volumes of data in Amazon S3. Redshift Concurrency Scaling adds transient capacity to running Redshift clusters to elastically handle heavy demand from concurrent users and queries. Previously, Ippokratis has held positions as software engineer at Cloudera where he worked on the Impala SQL-on-Hadoop query engine, and as member of the research staff at the IBM Almaden Research Center. Ippokratis received his PhD from the Electrical and Computer Engineering department at Carnegie Mellon University. He has served as PC chair of CloudDM 2016, DaMoN 2015 and DaMoN 2014 and he is currently the PC chair of HPTS 2019.

Bio

Stratos Idreos is an associate professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences. He leads DASlab, the Data Systems Laboratory at Harvard SEAS. Stratos works in the area of data management with emphasis on designing systems for big data exploration. As we continuously increase our ability to collect more and more data, data management and efficient discovery of knowledge become major challenges for both businesses and sciences. Stratos designs big data systems which are tailored for the new challenges posed by the big data era, i.e., systems that (a) are adaptive and easy to use by non experts, requiring minimum design, tuning and set-up effort and (b) can cope with the ever increasing rates of incoming data and the ever increasing demands for fast reactions to data searches.

Stratos obtained his Ph.D. from University of Amsterdam in the Netherlands. Before joining Harvard he was a tenure-track Scientific Staff Member with the Dutch National Research Center for Mathematics and Computer Science and held research internship and visiting professor positions with Microsoft Research, Redmond USA, with IBM Almaden USA, with EPFL Switzerland, with University of Trento in Italy, as well as with National University of Singapore. For his doctoral work on Database Cracking, Stratos won the 2011 ACM SIGMOD Jim Gray Doctoral Dissertation award which recognizes the best thesis internationally in the field of data management. In addition, he won the 2011 ERCIM Cor Baayen award as "most promising European young researcher in computer science and applied mathematics" from the European Research Council on Informatics and Mathematics. In 2010 he was awarded the IBM zEnterpise System Recognition Award by IBM Research, while in 2011 he also won the Challenges and Visions best paper award in the 2011 International Conference on Very Large Databases. In 2015 he was awarded the NSF CAREER Award from the US National Science Foundation and the 2015 IEEE TCDE Rising Star Award from the IEEE Technical Committee on Data Engineering.

Bio

Ion Androutsopoulos is Associate Professor in the Department of Informatics, Athens University of Economics and Business, Director of AUEB's Information Processing Laboratory, and head of AUEB's Natural Language Processing (NLP) Group. He is also Adjunct Researcher of the Institute for the Management of Information Systems (Digital Curation Unit) of the Research Centre "Athena". He holds a Diploma in Electrical Engineering from the National Technical University of Athens, an MSc in Information Technology from the University of Edinburgh, and a PhD in Artificial Intelligence from the University of Edinburgh. Before joining AUEB, he was a researcher at NCSR "Demokritos" and the former Microsoft Research Institute of Macquarie University in Sydney. His current research interests include question answering for structured and unstructured data, especially biomedical question answering; natural language generation from databases and ontologies, especially Semantic Web ontologies; text classification, including filtering spam and abusive content; information extraction and opinion mining, including legal text analytics and sentiment analysis; NLP tools for Greek; machine learning for NLP, especially deep learning; NLP in digital curation. He has published a monograph and more than 80 articles in journals and peer-reviewed conferences, with more than 7,000 citations. He co-organizes the 2019 Athens NLP Summer School, and co-organized EACL 2009 in Athens, the Large Scale Hierarchical Text Classification challenges (LSHTC3 was the ECML/PKDD 2012 Discovery Challenge), the BioASQ challenges, and the SemEval Aspect-Based Sentiment Analysis task. He participates regularly in the programme committees of ACL, NAACL, EACL, EMNLP.

Bio

Yannis Ioannidis is the President and General Director of the ATHENA Research and Innovation Center as well as a Professor at the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens. He is also serving a 2-year term (2018-2020) as the Secretary/Treasurer of ACM. Yannis has served as the ACM SIGMOD Chair (July 2009-June 2013), following a 4-year term as Vice-Chair, and is or has been a member of several other executive bodies of professional organizations and Scientific Advisory Boards. In 2017, Professor Yannis E. Ioannidis received the 2017 ACM SIGMOD Contributions Award for his sustained leadership and dedicated service to the database community, especially as part of the SIGMOD Executive Committee and the VLDB Endowment.

Bio

Georgia Koutrika is Research Director at Athena Research Center in Greece. In the past, she worked at HP Labs, at IBM Research-Almaden, and as a postdoctoral researcher at the Computer Science Dept., Stanford University. She received a PhD and a diploma in Computer Science from the University of Athens in Greece. Her work is in the broader area of big data and in the intersection of databases, information retrieval, and machine learning, and involves: data exploration, recommendation systems, user analytics, and large-scale information extraction, entity resolution and information integration. Her work has been incorporated in commercial products, has been described in 8 granted patents and 18 patent applications in the US and worldwide, and has been published in more than 80 research papers in top-tier conferences and journals. She is an ACM SIGMOD Associate Information Director, editor of ACM SIGMOD Blog, and ACM Distinguished Speaker. She is associate editor for TKDE and PVLDB (2019-2021). She is also the Treasurer of the Greek ACM-W Chapter. She has served as Demo PC co-chair for ACM SIGMOD 2018, General Co-Chair for ACM SIGMOD 2016, Industrial Track PC Chair for EDBT 2016, and Workshop and Tutorial Co-Chair for IEEE ICDE 2016.

Bio

Eirini Ntoutsi is an Associate Professor for Intelligent Systems at the Faculty of Electrical Engineering and Computer Science at the Leibniz University Hannover (LUH), head of the Data Mining group and member of the L3S Research Center. Her research interests are in the areas of Data Mining and Machine Learning where she develops methods for learning over complex data and data streams as well as methods for fairness-aware learning and responsible AI. Prior to joining LUH, she was a post-doctoral researcher and lecturer at the Ludwig Maximilians University (LMU), Munich. She joined the group in 2010 as a post-doctoral fellow of the Alexander von Humboldt Foundation. She holds a PhD in Data Mining from the University of Piraeus, Athens, Greece (2008) and an MSc and Diploma in Computer Engineering & Informatics both from the Computer Engineering & Informatics Department (CEID), University of Patras, Greece.

Abstract

Established in 2014, the Test-of-Time Award awarded by the Extended Database Technology (EDBT) Conference recognizes papers presented at EDBT Conferences that have had the most impact in terms of research, methodology, conceptual contribution, or transfer to practice over the past ten years. The EDBT ToT Award winner for 2019 is:

Shore-MT: a scalable storage manager for the multicore era. by Ryan Johnson, Ippokratis Pandis, Nikos Hardavellas, Anastasia Ailamaki, Babak Falsafi. In ACM Proceedings of the 12th International Conference on Extending Database Technology (EDBT'09) Pages 24-35

Bio

Anastasia Ailamaki is a Professor of Computer Sciences at the Ecole Polytechnique Federale de Lausanne (EPFL) in Switzerland and the co-founder of RAW Labs SA, a swiss company developing real-time analytics infrastructures for heterogeneous big data. Her research interests are in data-intensive systems and applications, and in particular (a) in strengthening the interaction between the database software and emerging hardware and I/O devices, and (b) in automating data management to support computationally- demanding, data-intensive scientific applications. She has received an ERC Consolidator Award (2013), a Finmeccanica endowed chair from the Computer Science Department at Carnegie Mellon (2007), a European Young Investigator Award from the European Science Foundation (2007), an Alfred P. Sloan Research Fellowship (2005), an NSF CAREER award (2002), and ten best-paper awards in database, storage, and computer architecture conferences. She holds a Ph.D. in Computer Science from the University of Wisconsin-Madison in 2000. She is an ACM fellow, an IEEE fellow, the Laureate for the 2018 Nemitsas Prize in Computer Science, and an elected member of the Swiss National Research Council. She has served as a CRA-W mentor, and is a member of the Expert Network of the World Economic Forum.

Abstract

This talk makes the case for the mutually beneficial relationship between ML and DBs. The first part of the talk describes how ML enables us to rethink the design of the components in a database system. In particular, our work shows that we can recast data indexing as an ML problem and in doing so obtain smaller and faster indexes for a large class of use cases. The second part of the talk describes how we can adapt principles from data-management systems (such as declarative schema constraints and declarative queries) in order to improve the robustness and quality of ML models. This part is based on our ongoing work in TensorFlow Extended, Google's internal platform for production ML pipelines.

Bio

Alkis Polyzotis is a research scientist at Google Research, where he currently leads the data-management projects in Google’s TensorFlow Extended (TFX) platform. His interests include data management for machine learning, enterprise data search, and interactive data exploration. Before joining Google, he was a professor at UC Santa Cruz. He received a PhD in Computer Sciences from the University of Wisconsin at Madison and a diploma in engineering from the National Tech. University of Athens, Greece.

Abstract

In 2014, some PhD students and postdocs started an open source project called Apache Flink originating in their research at the Technical University of Berlin, as well as a VC-funded company called data Artisans and recently renamed to Ververica that recently joined forces with Alibaba Group to further accelerate the growth of the technology.

Flink is now the definite framework for real-time stream processing, one of the most widely deployed Big Data frameworks globally boasting users such as Uber, Netflix, Lyft, Airbnb, Yelp, Alibaba Group, Tencent and many others, and supported by a community of over 500 contributors.

In this talk I will go through some personal learnings on building an innovative technology, and open source community from the ground up, as well as a business model to support and monetize the technology.

Bio

Kostas Tzoumas co-founded and has been the CEO of data Artisans (recently renamed to Ververica) since 2014. data Artisans was founded by the original creators of Apache Flink to bring the technology to the market, and recently joined forces with Alibaba Group to further accelerate the technological innovation and community growth in Apache Flink. Before founding data Artisans Kostas received a PhD from Aalborg University and was a postdoctoral researcher at the Technical University of Berlin.

Abstract

Oracle redefines data management with the world’s first autonomous database. Autonomous Database eliminates complexity, human error, and manual management, helping to ensure higher reliability, security, and more operational efficiency at the lowest cost.

Bio

John Orsaris is a Master Principal Cloud Solution Engineer, responsible for Greece, Cyprus, Malta, North Macedonia and Albania. At Oracle, he supports the sales organization, and advises partners and customers by translating their business needs into Oracle solutions, while he is specialized in Oracle Cloud Solutions in Data Platform area. John has been with Oracle for 15 years, and has a total experience of more than 20 years in IT. He holds a BSc in Computer Information Systems from Deere College of the American College of Greece.

Bio

Evi Lampaki is an IBM Consultant for the last 6 years. She studied Applied Mathematics at the School of "Applied Mathematics and Physical Sciences" at the National Technical University of Athens. She then got her MSc in "Applied Mathematical Sciences" from NTUA as well. From 2013, she has been working as Business Intelligence Consultant with main responsibilities to analyze, design and implement end to end EDW solutions for clients in Telecommunication and Airline industries. Evi has extensive experience on BI and ETL tools such as IBM Cognos, SAP BO, IBM Data Stage, and ODI.