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<title>Data Mesh Architecture: Scientific Literature</title>
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<h1 class="title">Scientific Literature</h1>
<div class="notification is-info is-light">
<p>
We want this collection of publications to be a <strong>community effort</strong>. Please share your observations and learnings <a href="https://www.datamesh-architecture.com/#authors">with us</a> so we can put them up here for you, or <a href="https://github.com/datamesh-architecture/datamesh-architecture.com/edit/main/literature.html">add them yourself via a pull request yourself</a>.
</p>
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<div class="notification is-warning is-light">
This overview is curated by <a href="https://www.linkedin.com/in/bode-jan/"><strong>Jan Bode</strong></a>.
<!-- List further contributors here -->
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<p>
We provide an overview of <a href="#peer-reviewed-literature">peer-reviewed</a> and <a href="#unpublished-literature">unpublished</a> contributions and their major takeaways.
</p>
</section>
<section class="section">
<!-- Peer-reviewed literature goes here, see below for unpublished literature e.g., thesis or whitepaper -->
<h4 class="title is-4" id="peer-reviewed-literature">Peer-reviewed Literature</h4>
</section>
<!-- Please use the following template: -->
<!-- <section class="section content">
<div class="columns">
<div class="column">
<div class="title is-6">Title</div>
<blockquote>
<div class="csl-entry"><div>
</blockquote>
Source: <a href="http://...">http://... <i class="fa-solid fa-arrow-up-right-from-square"></i></a>
</div>
<div class="column">
<div class="title is-6">Takeaways</div>
<ul>
<li></li>
</ul>
</div>
</div>
</section> -->
<section class="section content">
<div class="columns">
<div class="column">
<div class="title is-6">A novel design for Data Processing Framework of Park-level Power System with Data Mesh concept</div>
<blockquote>
<div class="csl-entry">Li, J., Cai, S., Wang, L., Li, M., Li, J., & Tu, H. (2022). A novel design for Data Processing Framework of Park-level Power System with Data Mesh concept. <i>2022 IEEE International Conference on Energy Internet (ICEI)</i>, 153–158.</div>
</blockquote>
Source: <a href="https://doi.org/10.1109/ICEI57064.2022.00032">doi.org/10.1109/ICEI57064.2022.00032 <i class="fa-solid fa-arrow-up-right-from-square"></i></a>
</div>
<div class="column">
<div class="title is-6">Takeaways</div>
<ul>
<li>Design scheme for data processing using data mesh concept</li>
<li>Context: Park-level power system in China </li>
<li>Design components: Metadata center, Data service, Decoupling, Federated computing, Registry, Data infrastructure on the cloud, and Scheduling components</li>
</ul>
</div>
</div>
</section>
<section class="section content">
<div class="columns">
<div class="column">
<div class="title is-6">Enterprise Data Strategy: A Decentralized Data Mesh Approach</div>
<blockquote>
<div class="csl-entry">Butte, V. K., & Butte, S. (2022). Enterprise Data Strategy: A Decentralized Data Mesh Approach. <i>2022 International Conference on Data Analytics for Business and Industry, ICDABI 2022</i>, 62–66.</div>
</blockquote>
Source: <a href="https://doi.org/10.1109/ICDABI56818.2022.10041672">doi.org/10.1109/ICDABI56818.2022.10041672 <i class="fa-solid fa-arrow-up-right-from-square"></i></a>
</div>
<div class="column">
<div class="title is-6">Takeaways</div>
<ul>
<li>Overview: Concepts, reference architectures</li>
<li>Generic architectures at domain and mesh level</li>
<li>Data mesh cloud architecture</li>
</ul>
</div>
</div>
</section>
<section class="section content">
<div class="columns">
<div class="column">
<div class="title is-6">From a Monolithic PLM Landscape to a Federated Domain and Data Mesh</div>
<blockquote>
<div class="csl-entry">Hooshmand, Y., Resch, J., Wischnewski, P., & Patil, P. (2022). From a Monolithic PLM Landscape to a Federated Domain and Data Mesh. <i>Proceedings of the Design Society</i>, <i>2</i>, 713–722.</div>
</blockquote>
Source: <a href="https://doi.org/10.1017/PDS.2022.73">doi.org/10.1017/PDS.2022.73 <i class="fa-solid fa-arrow-up-right-from-square"></i></a>
</div>
<div class="column">
<div class="title is-6">Takeaways</div>
<ul>
<li>Transforming monolithic PLM landscape into a Data Mesh</li>
<li>Tools to overcome challenges in PLM landscape: Semantic web technology, Domain-driven design, Data mesh </li>
<li>Elements of proposed domain-driven landscape: Domain's context map, Domain structure and setup, Model-driven software components and services, Cross-layer semantic layer</li>
<li>Infrastructure for domain-driven PLM landscape: Domain agnostic, federated governance</li>
</ul>
</div>
</div>
</section>
<section class="section content">
<div class="columns">
<div class="column">
<div class="title is-6">CoK: A Survey of Privacy Challenges in Relation to Data Meshes</div>
<blockquote>
<div class="csl-entry">Podlesny, N. J., Kayem, A. V. D. M., & Meinel, C. (2022). CoK: A Survey of Privacy Challenges in Relation to Data Meshes. <i>Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)</i>, <i>13426 LNCS</i>, 85–102.</div>
</blockquote>
Source: <a href="https://doi.org/10.1007/978-3-031-12423-57">doi.org/10.1007/978-3-031-12423-57 <i class="fa-solid fa-arrow-up-right-from-square"></i></a>
</div>
<div class="column">
<div class="title is-6">Takeaways</div>
<ul>
<li>Privacy challenges in data mesh due to distributed nature</li>
<li>Survey of privacy-related issues</li>
<li>Limitations of existing solutions</li>
<li>Need for performant algorithms to determine linkages across data repositories <em>on-the-fly </em></li>
</ul>
</div>
</div>
</section>
<section class="section content">
<div class="columns">
<div class="column">
<div class="title is-6">Agile Data Management in NAV: A Case Study</div>
<blockquote>
<div class="csl-entry">Vestues, K., Hanssen, G. K., Mikalsen, M., Buan, T. A., & Conboy, K. (2022). Agile Data Management in NAV: A Case Study. <i>Lecture Notes in Business Information Processing</i>, <i>445 LNBIP</i>, 220–235.</div>
</blockquote>
Source: <a href="https://doi.org/10.1007/978-3-031-08169-9_14">doi.org/10.1007/978-3-031-08169-9_14 <i class="fa-solid fa-arrow-up-right-from-square"></i></a>
</div>
<div class="column">
<div class="title is-6">Takeaways</div>
<ul>
<li>Case study: Norwegian Labor and Welfare Administration </li>
<li>18 semi-structured expert interviews</li>
<li>Challenges when transitioning from centralized towards agile data management using data mesh</li>
<li>Challenges: Change of control, Access management, Create data products, Establish ecosystem</li>
</ul>
</div>
</div>
</section>
<section class="section content">
<div class="columns">
<div class="column">
<div class="title is-6">Advancing Data Architectures with Data Mesh Implementations</div>
<blockquote>
<div class="csl-entry">Araújo Machado, I., Costa, C., & Santos, M. Y. (2022). Advancing Data Architectures with Data Mesh Implementations. <i>Lecture Notes in Business Information Processing</i>, <i>452</i>, 10–18.</div>
</blockquote>
Source: <a href="https://doi.org/10.1007/978-3-031-07481-3_2">doi.org/10.1007/978-3-031-07481-3_2 <i class="fa-solid fa-arrow-up-right-from-square"></i></a>
</div>
<div class="column">
<div class="title is-6">Takeaways</div>
<ul>
<li>Support for future data mesh implementations</li>
<li>Proposal for technological data mesh architecture</li>
<li>Evaluation and proof-of concept use case: Chocolate online seller</li>
</ul>
</div>
</div>
</section>
<section class="section content">
<div class="columns">
<div class="column">
<div class="title is-6">Finding Your Way Through the Jungle of Big Data Architectures</div>
<blockquote>
<div class="csl-entry">Priebe, T., Neumaier, S., & Markus, S. (2021). Finding Your Way Through the Jungle of Big Data Architectures. <i>Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021</i>, 5994–5996.</div>
</blockquote>
Source: <a href="https://doi.org/10.1109/BIGDATA52589.2021.9671862">doi.org/10.1109/BIGDATA52589.2021.9671862 <i class="fa-solid fa-arrow-up-right-from-square"></i></a>
</div>
<div class="column">
<div class="title is-6">Takeaways</div>
<ul>
<li>Overview and comparison of current big data architectures: Logical data warehouse, Data fabric, Data mesh</li>
<li>Goal: Provide guidance in choosing the right architecture</li>
<li>Proposed architectural framework based on <a href="https://www.dama.org/cpages/body-of-knowledge">DAMA-DMBOK</a> and <a href="https://www.archimatetool.com">ArchiMate</a></li>
</ul>
</div>
</div>
</section>
<section class="section content">
<div class="columns">
<div class="column">
<div class="title is-6">A Semantic Approach to Identifier Management in Engineering Systems</div>
<blockquote>
<div class="csl-entry">Mehmandarov, R., Waaler, A., Cameron, D., Fjellheim, R., & Pettersen, T. B. (2021). A Semantic Approach to Identifier Management in Engineering Systems. <i>Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021</i>, 4613–4616.</div>
</blockquote>
Source: <a href="https://doi.org/10.1109/BIGDATA52589.2021.9671515">doi.org/10.1109/BIGDATA52589.2021.9671515 <i class="fa-solid fa-arrow-up-right-from-square"></i></a>
</div>
<div class="column">
<div class="title is-6">Takeaways</div>
<ul>
<li>Approach for identifier management to improve system integration and system-to-system communication</li>
<li>Main challenge: Identifier mapping in distributed architectures</li>
<li>Further challenges: Minimize domain expert - IT system knowledge gap, Data contextualization</li>
<li>Applicable for oil and gas industry, as well as similar sectors of engineering</li>
</ul>
</div>
</div>
</section>
<section class="section content">
<div class="columns">
<div class="column">
<div class="title is-6">Data governance in data mesh infrastructures: The Saxo bank case study</div>
<blockquote>
<div class="csl-entry">Joshi, D., Pratik, S., & Rao, M. P. (2021). Data governance in data mesh infrastructures: The Saxo bank case study. <i>Proceedings of the International Conference on Electronic Business (ICEB)</i>, <i>21</i>, 599–604.</div>
</blockquote>
Source: <a href="https://aisel.aisnet.org/iceb2021/52/">https://aisel.aisnet.org/iceb2021/52/ <i class="fa-solid fa-arrow-up-right-from-square"></i></a>
</div>
<div class="column">
<div class="title is-6">Takeaways</div>
<ul>
<li>Proposal: Federated data governance in data mesh infrastructure</li>
<li>Key elements: Data catalogue, Data quality, Data ownership</li>
<li>Selected impacts: Ecosystem expansion, Innovation, UX improvements</li>
<li>Selected challenges: Compliance, Align business and technology, Tool integration, Culture and change management</li>
<li>Example case study and implementation guideline: Saxo Bank</li>
</ul>
</div>
</div>
</section>
<section class="section content">
<div class="columns">
<div class="column">
<div class="title is-6">Data Mesh: Concepts and Principles of a Paradigm Shift in Data Architectures</div>
<blockquote>
<div class="csl-entry">Machado, I. A., Costa, C., & Santos, M. Y. (2021). Data Mesh: Concepts and Principles of a Paradigm Shift in Data Architectures. <i>Procedia Computer Science</i>, <i>196</i>, 263–271.</div>
</blockquote>
Source: <a href="https://doi.org/10.1016/J.PROCS.2021.12.013">doi.org/10.1016/J.PROCS.2021.12.013 <i class="fa-solid fa-arrow-up-right-from-square"></i></a>
</div>
<div class="column">
<div class="title is-6">Takeaways</div>
<ul>
<li>Motivation for the emerging paradigm shift</li>
<li>Comprehensive overview: Data mesh features and approaches</li>
<li>Comparison of different approaches</li>
<li>Description of recent implementations at Zalando and Netflix</li>
</ul>
</div>
</div>
</section>
<section class="section content">
<div class="columns">
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<div class="title is-6">Data-Driven Information Systems: The Data Mesh Paradigm Shift</div>
<blockquote>
<div class="csl-entry">Machado, I., Costa, C., & Santos, M. Y. (2021). Data-Driven Information Systems: The Data Mesh Paradigm Shift. <i>International Conference on Information Systems Development (ISD)</i>.</div>
</blockquote>
Source: <a href="https://aisel.aisnet.org/isd2014/proceedings2021/currenttopics/9">https://aisel.aisnet.org/isd2014/proceedings2021/currenttopics/9 <i class="fa-solid fa-arrow-up-right-from-square"></i></a>
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<div class="title is-6">Takeaways</div>
<ul>
<li>Contribution: Data mesh domain model and conceptual architecture</li>
<li>Domain model construct based on DATSIS principles and their relationships</li>
<li>Conceptual architecture based on: Security machanism, Nodes and catalog, Self-serve data platform, and Infrastructure
</ul>
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</div>
</section>
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<div class="title is-6">Exploring the Benefits of Blockchain-Powered Metadata Catalogs in Data Mesh Architecture</div>
<blockquote>
<div class="csl-entry"> Anton Dolhopolov, Arnaud Castelltort, and Anne Laurent. 2023. Exploring the Benefits of Blockchain-Powered Metadata Catalogs in Data Mesh Architecture. <i> 6TH WORKSHOP ON BLOCKCHAINS FOR INTER-ORGANIZATIONAL COLLABORATION (BIOC’23)</i>.</div>
</blockquote>
Source: <a href="https://hal.umontpellier.fr/hal-04156089/document">https://hal.umontpellier.fr/hal-04156089/document<i class="fa-solid fa-arrow-up-right-from-square"></i></a>
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<div class="title is-6">Takeaways</div>
<ul>
<li>Formalisation of 3 types of metadata catalog: centralized, federated (distributed), decentralized</li>
<li>Proposal of a federated metadata catalog model based on blockchain technologies</li>
</ul>
</div>
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<div class="title is-6">Implementing a Blockchain-Powered Metadata Catalog in Data Mesh Architecture</div>
<blockquote>
<div class="csl-entry"> Anton Dolhopolov, Arnaud Castelltort, and Anne Laurent. Implementing a Blockchain-Powered Metadata Catalog in Data Mesh Architecture. <i>5th International Blockchain Congress (2023)</i>.</div>
</blockquote>
Source: <a href="https://hal.umontpellier.fr/hal-04156134/document">https://hal.umontpellier.fr/hal-04156134/document <i class="fa-solid fa-arrow-up-right-from-square"></i></a>
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<div class="title is-6">Takeaways</div>
<ul>
<li>Metadata catalog prototype based on Hyperledger Fabric</li>
<li>Using metadata model asset & Smart Contracts as automatic metadata governance tools</li>
<li>Data Product consumption workflow based on metadata propagation in the ledger</li>
</ul>
</div>
</div>
</section>
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<div class="title is-6">Data Mesh: Motivational Factors, Challenges, and Best Practices <span class="tag is-light is-warning">under review</span></div>
<blockquote>
<div class="csl-entry">Bode, J., Kühl, N., Kreuzberger, D., Hirschl, S., & Holtmann, C. (2023). Data Mesh: Motivational Factors, Challenges, and Best Practices. ArXiv [Cs.AI].</div>
</blockquote>
Source: <a href="http://arxiv.org/abs/2302.01713">arxiv.org/abs/2302.01713 <i class="fa-solid fa-arrow-up-right-from-square"></i></a>
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<div class="title is-6">Takeaways</div>
<ul>
<li>Learnings from recent cross-industry data mesh implementations</li>
<li>15 semi-structured interviews with industry experts</li>
<li>Contribution: Motivational factors, challenges, best practices, impacts, and archetypes</li>
<li>Selected best practices: (Temporary) Cross-domain unit, Empower and observe, Conscious adoption, Dedicated ownership</li>
</ul>
</div>
</div>
</section>
<section class="section">
<div class="content">
<h4 class="title is-4">Other Overviews of Scientific Literature</h4>
<ul>
<li><a href="https://arxiv.org/abs/2304.01062">Goedegebuure, A., et al. (2023). Data Mesh: a Systematic Gray Literature Review.</a></li>
</ul>
</div>
</section>
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<p>
We want this collection of publications to be a <strong>community effort</strong>. Please share your observations and learnings <a href="https://www.datamesh-architecture.com/#authors">with us</a> so we can put them up here for you, or <a href="https://github.com/datamesh-architecture/datamesh-architecture.com/edit/main/literature.html">add them yourself via a pull request yourself</a>.
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