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The BigDAWG polystore system and architecture

Vijay Gadepally, Peinan Chen, Jennie Duggan, Aaron Elmore, Brandon Haynes, Jeremy Kepner, Samuel Madden, Tim Mattson, Michael Stonebraker
<span title="">2016</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/v67j4hwzdjcu3csnvox3vnxiry" style="color: black;">2016 IEEE High Performance Extreme Computing Conference (HPEC)</a> </i> &nbsp;

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<span title="2016-09-24">2016</span> <span class="release-stage" >pre-print</span> <span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1609.07548v1">arXiv:1609.07548v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/khgjugdyunfufioxhzceiguuza">fatcat:khgjugdyunfufioxhzceiguuza</a> </span>
In this article, we will describe polystore databases, the current BigDAWG architecture and its application on the MIMIC II medical dataset, initial performance results and our future development plans  ...  Initial results from a prototype of the BigDAWG system applied to a medical dataset validate polystore concepts.  ...  The concept of polystore systems extends these concepts to support multiple query languages and disparate DBMSs. We described our architecture for such a polystore system, BigDAWG.  ... 
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Vijay Gadepally, Peinan Chen, Jennie Duggan, Aaron Elmore, Brandon Haynes, Jeremy Kepner, Samuel Madden, Tim Mattson, Michael Stonebraker. "The BigDAWG polystore system and architecture." 2016 IEEE High Performance Extreme Computing Conference (HPEC) (2016) 1-6

BigDAWG Polystore Release and Demonstration [article]

Kyle OBrien, Vijay Gadepally, Jennie Duggan, Adam Dziedzic, Aaron Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Zuohao She, Michael Stonebraker
<span title="2017-01-19">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>

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In this article, we will demonstrate a number of polystore applications developed with oceanographic researchers at MIT and describe our forthcoming open source release of the BigDAWG system.  ...  The BigDAWG (Big Data Working Group) system supports "many sizes" of database engines, multiple programming languages and complex analytics for a variety of workloads.  ...  The authors wish to thank our ISTC Collaborators and members of the Chisholm Lab for their scientific advice.  ... 
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Kyle OBrien, Vijay Gadepally, Jennie Duggan, Adam Dziedzic, Aaron Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Zuohao She, Michael Stonebraker. "BigDAWG Polystore Release and Demonstration." arXiv (2017)

BigDAWG version 0.1

Vijay Gadepally, Kyle O'Brien, Adam Dziedzic, Aaron Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Jennie Rogers, Zuohao She, Michael Stonebraker
<span title="">2017</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/v67j4hwzdjcu3csnvox3vnxiry" style="color: black;">2017 IEEE High Performance Extreme Computing Conference (HPEC)</a> </i> &nbsp;

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<span title="2017-07-03">2017</span> <span class="release-stage" >pre-print</span> <span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1707.00721v1">arXiv:1707.00721v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6zivpbknbraxbp74psgwhjqv4e">fatcat:6zivpbknbraxbp74psgwhjqv4e</a> </span>
We describe the overall architecture, API and initial results of applying BigDAWG to the MIMIC II medical dataset.  ...  BigDAWG (Big Data Working Group) is our reference implementation of a polystore system. In this paper, we describe the current BigDAWG software release which supports PostgreSQL, Accumulo and SciDB.  ...  ACKNOWLEDGEMENT This work was supported in part by the Intel Science and Technology Center (ISTC) for Big Data.  ... 
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Vijay Gadepally, Kyle O'Brien, Adam Dziedzic, Aaron Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Jennie Rogers, Zuohao She, Michael Stonebraker. "BigDAWG version 0.1." 2017 IEEE High Performance Extreme Computing Conference (HPEC) (2017) 1-7

The BigDAWG Architecture [article]

Vijay Gadepally, Jennie Duggan, Aaron Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Michael Stonebraker
<span title="2016-02-29">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>

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In this article, we describe the current architecture of BigDAWG, its application on the MIMIC II medical dataset, and our plans for the mechanics of cross-system queries.  ...  BigDAWG provides an architecture that supports diverse database systems working with different data models, support for the competing notions of location transparency and semantic completeness via islands  ...  In this presentation, we will describe the current BigDAWG architecture and describe a series of polystore workloads developed for the MIMIC II dataset.  ... 
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Vijay Gadepally, Jennie Duggan, Aaron Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Michael Stonebraker. "The BigDAWG Architecture." arXiv (2016)

Integrating real-time and batch processing in a polystore

John Meehan, Stan Zdonik, Shaobo Tian, Yulong Tian, Nesime Tatbul, Adam Dziedzic, Aaron Elmore
<span title="">2016</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/v67j4hwzdjcu3csnvox3vnxiry" style="color: black;">2016 IEEE High Performance Extreme Computing Conference (HPEC)</a> </i> &nbsp;

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This paper describes a stream processing engine called S-Store and its role in the BigDAWG polystore.  ...  S-Store also acts as an intelligent router that sends input tuples to the appropriate components of BigDAWG.  ...  ACKNOWLEDGMENTS This research was funded in part by the Intel Science and Technology Center for Big Data, and by the NSF under grant NSF IIS-1111423.  ... 
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Citation

John Meehan, Stan Zdonik, Shaobo Tian, Yulong Tian, Nesime Tatbul, Adam Dziedzic, Aaron Elmore. "Integrating real-time and batch processing in a polystore." 2016 IEEE High Performance Extreme Computing Conference (HPEC) (2016) 1-7

The BigDAWG Polystore System

Jennie Duggan, Stan Zdonik, Aaron J. Elmore, Michael Stonebraker, Magda Balazinska, Bill Howe, Jeremy Kepner, Sam Madden, David Maier, Tim Mattson
<span title="2015-08-12">2015</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/svqjiw2cwzftpcod3duuxcbveu" style="color: black;">SIGMOD record</a> </i> &nbsp;

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To address this shift, we propose a polystore architecture; it is designed to unify querying over multiple data models. We consider the challenges and opportunities associated with polystores.  ...  We introduce our approach to these topics and discuss our prototype in the context of the Intel Science and Technology Center for Big Data.  ...  Many queries may have implicit CASTS, and the polystore will insert these operations automatically as needed. The full BigDAWG architecture is shown in Figure 1 .  ... 
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Citation

Jennie Duggan, Stan Zdonik, Aaron J. Elmore, Michael Stonebraker, Magda Balazinska, Bill Howe, Jeremy Kepner, Sam Madden, David Maier, Tim Mattson. "The BigDAWG Polystore System." SIGMOD record 44.2 (2015) 11-16

A demonstration of the BigDAWG polystore system

A. Elmore, T. Kraska, S. Madden, D. Maier, T. Mattson, S. Papadopoulos, J. Parkhurst, N. Tatbul, M. Vartak, S. Zdonik, J. Duggan, M. Stonebraker (+6 others)
<span title="2015-08-01">2015</span> <i title="VLDB Endowment"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/p6rqwwpkkjbcldejepcehaalby" style="color: black;">Proceedings of the VLDB Endowment</a> </i> &nbsp;

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This paper presents BigDAWG, a reference implementation of a new architecture for "Big Data" applications.  ...  This complex application serves the needs of doctors and researchers and provides real-time support for streams of patient data.  ...  CONCLUSIONS The BigDAWG demonstration shows the need for and benefit from a tightly coupled polystore system.  ... 
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A. Elmore, T. Kraska, S. Madden, D. Maier, T. Mattson, S. Papadopoulos, J. Parkhurst, N. Tatbul, M. Vartak, S. Zdonik, J. Duggan, M. Stonebraker, M. Balazinska, U. Cetintemel, V. Gadepally, J. Heer, B. Howe, J. Kepner. "A demonstration of the BigDAWG polystore system." Proceedings of the VLDB Endowment 8.12 (2015) 1908-1911

Database engine integration and performance analysis of the BigDAWG polystore system

Katherine Yu, Vijay Gadepally, Michael Stonebraker
<span title="">2017</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/v67j4hwzdjcu3csnvox3vnxiry" style="color: black;">2017 IEEE High Performance Extreme Computing Conference (HPEC)</a> </i> &nbsp;

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The BigDAWG polystore database system aims to address workloads dealing with large, heterogeneous datasets.  ...  This thesis presents work done to add support for two commonly used database engines, Vertica and MySQL, to the BigDAWG system, as well as results and analysis from performance evaluation of the system  ...  Chapter 2 BigDAWG architecture In this chapter, I describe the design and architecture of the BigDAWG system.  ... 
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Citation

Katherine Yu, Vijay Gadepally, Michael Stonebraker. "Database engine integration and performance analysis of the BigDAWG polystore system." 2017 IEEE High Performance Extreme Computing Conference (HPEC) (2017) 1-7

Towards Polyglot Data Stores – Overview and Open Research Questions [article]

Daniel Glake, Felix Kiehn, Mareike Schmidt, Fabian Panse, Norbert Ritter
<span title="2022-04-12">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>

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Finally, we outline the benefits and drawbacks of the surveyed systems and propose future research directions and current challenges in this area.  ...  However, since each store is only a specialization, this motivates progress in polyglot data management emerged new systems called Mult- and Polystores.  ...  Technical architecture of the BigDAWG system, adopted from [27] An additional optimisation aspect, BigDAWG considers is the placement of data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.05779v1">arXiv:2204.05779v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gshjmm6lnrev3m2anzhnk6gaoi">fatcat:gshjmm6lnrev3m2anzhnk6gaoi</a> </span>
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Daniel Glake, Felix Kiehn, Mareike Schmidt, Fabian Panse, Norbert Ritter. "Towards Polyglot Data Stores – Overview and Open Research Questions." arXiv (2022)

Polyflow: a Polystore-compliant Mechanism to Provide Interoperability to Heterogeneous Provenance Graphs

Yan Mendes, Daniel De Oliveira, Victor Ströele
<span title="2021-05-04">2021</span> <i title="Sociedade Brasileira de Computacao - SB"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/er2lc36yujbpxfm4l4snzitm2y" style="color: black;">Journal of Information and Data Management</a> </i> &nbsp;

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With a clearer understanding of the state of the art, we propose a tool called Polyflow, which is based on the concept of Polystore systems, integrating several databases of heterogeneous origin by adopting  ...  To guarantee the reproducibility of workflows, they are usually orchestrated by Workflow Management Systems (WfMS), that capture provenance data.  ...  BigDAWG 2 [Gadepally et al. 2016 ] is a pioneer Polystore system and is the engine responsible for the syntactic interoperability layer of this article.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5753/jidm.2020.2017">doi:10.5753/jidm.2020.2017</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/r4evleyx7vaobixao7lc3ejmke">fatcat:r4evleyx7vaobixao7lc3ejmke</a> </span>
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Yan Mendes, Daniel De Oliveira, Victor Ströele. "Polyflow: a Polystore-compliant Mechanism to Provide Interoperability to Heterogeneous Provenance Graphs." Journal of Information and Data Management 11.3 (2021)

Towards Smart Manufacturing with Dynamic Dataspace Alignment [chapter]

Donatella Firmani, Francesco Leotta, Federica Mandreoli, Massimo Mecella
<span title="">2020</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/noh4d7uktraolega74eilgfv5u" style="color: black;">Lecture Notes in Business Information Processing</a> </i> &nbsp;

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The technological foundation of smart manufacturing consists of cyber-physical systems and the Internet-of-Things (IoT).  ...  -to envision a software architecture to support adaptation of the manufacturing process when divergence from reference practices occur.  ...  The work of Francesco Leotta and Massimo Mecella has been also partly supported by the research contract with Rota Laser Dies.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-49165-9_5">doi:10.1007/978-3-030-49165-9_5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yvgq7bazlveu7eomk2exfidvhm">fatcat:yvgq7bazlveu7eomk2exfidvhm</a> </span>
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Donatella Firmani, Francesco Leotta, Federica Mandreoli, Massimo Mecella. "Towards Smart Manufacturing with Dynamic Dataspace Alignment." Lecture Notes in Business Information Processing (2020) 53-58

Processing Analytical Queries over Polystore System for a Large Astronomy Data Repository

Manoj Poudel, Rashmi P. Sarode, Yutaka Watanobe, Maxim Mozgovoy, Subhash Bhalla
<span title="2022-03-04">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;

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In this study, we propose a web-based query system built around the Polystore database architecture, and attempt to provide a solution for the growing size of data in the astronomical domain.  ...  The proposed system is scalable, and its model can be used for various other systems to efficiently manage heterogeneous data.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12052663">doi:10.3390/app12052663</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3ffc6b624rfnxegmsz5kkibbve">fatcat:3ffc6b624rfnxegmsz5kkibbve</a> </span>
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<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220310084656/https://mdpi-res.com/d_attachment/applsci/applsci-12-02663/article_deploy/applsci-12-02663.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/96/61/9661f1541255f4445a1ec17ec6c72b480c35d32c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12052663"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>
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Manoj Poudel, Rashmi P. Sarode, Yutaka Watanobe, Maxim Mozgovoy, Subhash Bhalla. "Processing Analytical Queries over Polystore System for a Large Astronomy Data Repository." Applied Sciences 12.5 (2022) 2663

Design of a Portable Programming Abstraction for Data Transformations

Johannes Luong, Dirk Habich, Wolfgang Lehner
<span title="">2018</span> <i title="SCITEPRESS - Science and Technology Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pc22cyn2jjfqzdp36kmoqmbgbq" style="color: black;">Proceedings of the 7th International Conference on Data Science, Technology and Applications</a> </i> &nbsp;

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However, these languages create a tight coupling between applications and specific systems that can hinder further development on both sides of the equation.  ...  In this changed environment, the expressiveness of the traditional relational algebra is often insufficient and data management systems have started to provide more powerful special purpose programming  ...  ACKNOWLEDGMENTS The authors would like to thank the German Federal Minstry of Education and Research (BMBF) for the opportunity to do research in the VAVID project under grant 01IS14005.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5220/0006945004000408">doi:10.5220/0006945004000408</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/data/LuongHL18.html">dblp:conf/data/LuongHL18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nxhwcb2ixbfzdi3uoihn63afpi">fatcat:nxhwcb2ixbfzdi3uoihn63afpi</a> </span>
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Johannes Luong, Dirk Habich, Wolfgang Lehner. "Design of a Portable Programming Abstraction for Data Transformations." Proceedings of the 7th International Conference on Data Science, Technology and Applications (2018) 400-408

Handling Evolution in Big Data Architectures

Darja Solodovnikova, Laila Niedrite
<span title="">2020</span> <i title="University of Latvia"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vlg2naepfbhxjmbatjtyuepazq" style="color: black;">Baltic Journal of Modern Computing</a> </i> &nbsp;

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We concentrate on four architecture types: data lakes, virtual integration, polystores, and λ-architecture, and, in addition to them, we consider solutions that apply data warehouse/OLAP methods to Big  ...  In this paper, we analyze architectures designed for Big Data processing and analysis described in the literature with the purpose to identify the most appropriate solution for the evolution problem.  ...  Acknowledgments This work has been partly supported by the European Regional Development Fund (ERDF) project No. 1.1.1.2./VIAA/1/16/057.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22364/bjmc.2020.8.1.02">doi:10.22364/bjmc.2020.8.1.02</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ghvrfrud7rcblj7a3ww3pzn2dm">fatcat:ghvrfrud7rcblj7a3ww3pzn2dm</a> </span>
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Darja Solodovnikova, Laila Niedrite. "Handling Evolution in Big Data Architectures." Baltic Journal of Modern Computing 8.1 (2020)

Technical Report: Developing a Working Data Hub [article]

Vijay Gadepally, Jeremy Kepner
<span title="2020-04-17">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>

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The need for high quality and easy access to data is further amplified by organizations wishing to leverage machine learning or artificial intelligence for their operations.  ...  This document provides background in databases, data management and outlines best practices and recommendations for developing and deploying a working data hub.  ...  The end-to-end architecture of the BigDAWG polystore system is described in Figure 5 .  ... 
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Vijay Gadepally, Jeremy Kepner. "Technical Report: Developing a Working Data Hub." arXiv (2020)

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