{"id":8414,"date":"2023-12-11T12:17:29","date_gmt":"2023-12-11T20:17:29","guid":{"rendered":"https:\/\/live-cometml.pantheonsite.io\/?p=8414"},"modified":"2025-04-24T17:03:56","modified_gmt":"2025-04-24T17:03:56","slug":"data-fabric-data-mesh-two-approaches-one-data-driven-destiny","status":"publish","type":"post","link":"https:\/\/www.comet.com\/site\/blog\/data-fabric-data-mesh-two-approaches-one-data-driven-destiny\/","title":{"rendered":"Data Fabric &#038; Data Mesh: Two Approaches, One Data-Driven Destiny"},"content":{"rendered":"\n<div class=\"ab ca\">\n<div class=\"ch bg ex ey ez fa\">\n<p id=\"aee9\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\">I decided to write a series of blogs on current topics: the elements of data governance that I have been thinking about, reading, and following for a while. Even though the titles are new, the ideas are not really new. They are formed by taking advantage of different sciences and mainly consist of new usage patterns focused on strengthening agility and scalability.<\/p>\n<figure class=\"nn no np nq nr ns nk nl paragraph-image\">\n<div class=\"nt nu ee nv bg nw\" tabindex=\"0\" role=\"button\">\n<figure><img loading=\"lazy\" decoding=\"async\" class=\"bg lx nx c\" role=\"presentation\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/0*zQ5d0ygQYmyQGJQ8.jpeg\" alt=\"\" width=\"700\" height=\"393\"><\/figure><div class=\"nk nl nm\"><picture><source srcset=\"https:\/\/miro.medium.com\/v2\/resize:fit:640\/format:webp\/0*zQ5d0ygQYmyQGJQ8.jpeg 640w, https:\/\/miro.medium.com\/v2\/resize:fit:720\/format:webp\/0*zQ5d0ygQYmyQGJQ8.jpeg 720w, https:\/\/miro.medium.com\/v2\/resize:fit:750\/format:webp\/0*zQ5d0ygQYmyQGJQ8.jpeg 750w, https:\/\/miro.medium.com\/v2\/resize:fit:786\/format:webp\/0*zQ5d0ygQYmyQGJQ8.jpeg 786w, https:\/\/miro.medium.com\/v2\/resize:fit:828\/format:webp\/0*zQ5d0ygQYmyQGJQ8.jpeg 828w, https:\/\/miro.medium.com\/v2\/resize:fit:1100\/format:webp\/0*zQ5d0ygQYmyQGJQ8.jpeg 1100w, https:\/\/miro.medium.com\/v2\/resize:fit:1400\/format:webp\/0*zQ5d0ygQYmyQGJQ8.jpeg 1400w\" type=\"image\/webp\" sizes=\"(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px\"><source srcset=\"https:\/\/miro.medium.com\/v2\/resize:fit:640\/0*zQ5d0ygQYmyQGJQ8.jpeg 640w, https:\/\/miro.medium.com\/v2\/resize:fit:720\/0*zQ5d0ygQYmyQGJQ8.jpeg 720w, https:\/\/miro.medium.com\/v2\/resize:fit:750\/0*zQ5d0ygQYmyQGJQ8.jpeg 750w, https:\/\/miro.medium.com\/v2\/resize:fit:786\/0*zQ5d0ygQYmyQGJQ8.jpeg 786w, https:\/\/miro.medium.com\/v2\/resize:fit:828\/0*zQ5d0ygQYmyQGJQ8.jpeg 828w, https:\/\/miro.medium.com\/v2\/resize:fit:1100\/0*zQ5d0ygQYmyQGJQ8.jpeg 1100w, https:\/\/miro.medium.com\/v2\/resize:fit:1400\/0*zQ5d0ygQYmyQGJQ8.jpeg 1400w\" sizes=\"(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px\" data-testid=\"og\"><\/picture><\/div>\n<\/div><figcaption class=\"ny nz oa nk nl ob oc be b bf z dw\" data-selectable-paragraph=\"\">Image generated by Midjourney \u2014 Prompt: \u201cA patchwork showing different fabrics and textures sewn together with a mesh weave. But this patchwork has a digitalized image.\u201d<\/figcaption><\/figure>\n<h1 id=\"03f0\" class=\"od oe fs be of og oh gs oi oj ok gv ol om on oo op oq or os ot ou ov ow ox oy bj\" data-selectable-paragraph=\"\">What is the Data Fabric?<\/h1>\n<blockquote class=\"oz pa pb\"><p id=\"28a6\" class=\"mp mq pc be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Data Fabric<\/strong> is an approach to working with data in globally consistent ways.<\/p><\/blockquote>\n<p id=\"7419\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\">Let\u2019s try to understand the main reason behind the saying \u201cfabric\u201d with the help of an analogy. Let\u2019s keep in mind that the <strong class=\"be pd\">fabric of the universe<\/strong> in physics is<strong class=\"be pd\"> essentially and globally consistent. <\/strong>Now let\u2019s continue\u2026<\/p>\n<p id=\"3933\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">According to the data fabric approach;<\/strong><\/p>\n<ul class=\"\">\n<li id=\"0805\" class=\"mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\">Data: It should be treated as an asset developed, tested, and made available to users or other teams within the organization, just like software products. I will define this later as the \u201cData Product.\u201d<\/li>\n<li id=\"6847\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\">Data should have an independent team responsible for its creation, delivery, and sustainability. This team should consist of experts who know the business domain where the data comes from and should be something other than general-purpose Information and Communication Technologies (ICT) teams.<\/li>\n<li id=\"4bfc\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\">Data should be designed to be easily accessed, discovered, and consumed by other teams or users without requiring significant support or intervention from the team that created it.<\/li>\n<li id=\"c2d7\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\">Data should be created using standardized data models, definitions, and quality requirements. It must be rigorously tested to ensure quality, reliability, and interoperability.<\/li>\n<\/ul>\n<figure class=\"nn no np nq nr ns nk nl paragraph-image\">\n<div class=\"nt nu ee nv bg nw\" tabindex=\"0\" role=\"button\">\n<figure><img loading=\"lazy\" decoding=\"async\" class=\"bg lx nx c\" role=\"presentation\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/0*bJqPTWFUY1tca0SO.png\" alt=\"\" width=\"700\" height=\"483\"><\/figure><div class=\"nk nl nm\"><picture><source srcset=\"https:\/\/miro.medium.com\/v2\/resize:fit:640\/format:webp\/0*bJqPTWFUY1tca0SO.png 640w, https:\/\/miro.medium.com\/v2\/resize:fit:720\/format:webp\/0*bJqPTWFUY1tca0SO.png 720w, https:\/\/miro.medium.com\/v2\/resize:fit:750\/format:webp\/0*bJqPTWFUY1tca0SO.png 750w, https:\/\/miro.medium.com\/v2\/resize:fit:786\/format:webp\/0*bJqPTWFUY1tca0SO.png 786w, https:\/\/miro.medium.com\/v2\/resize:fit:828\/format:webp\/0*bJqPTWFUY1tca0SO.png 828w, https:\/\/miro.medium.com\/v2\/resize:fit:1100\/format:webp\/0*bJqPTWFUY1tca0SO.png 1100w, https:\/\/miro.medium.com\/v2\/resize:fit:1400\/format:webp\/0*bJqPTWFUY1tca0SO.png 1400w\" type=\"image\/webp\" sizes=\"(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px\"><source srcset=\"https:\/\/miro.medium.com\/v2\/resize:fit:640\/0*bJqPTWFUY1tca0SO.png 640w, https:\/\/miro.medium.com\/v2\/resize:fit:720\/0*bJqPTWFUY1tca0SO.png 720w, https:\/\/miro.medium.com\/v2\/resize:fit:750\/0*bJqPTWFUY1tca0SO.png 750w, https:\/\/miro.medium.com\/v2\/resize:fit:786\/0*bJqPTWFUY1tca0SO.png 786w, https:\/\/miro.medium.com\/v2\/resize:fit:828\/0*bJqPTWFUY1tca0SO.png 828w, https:\/\/miro.medium.com\/v2\/resize:fit:1100\/0*bJqPTWFUY1tca0SO.png 1100w, https:\/\/miro.medium.com\/v2\/resize:fit:1400\/0*bJqPTWFUY1tca0SO.png 1400w\" sizes=\"(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px\" data-testid=\"og\"><\/picture><\/div>\n<\/div>\n<figcaption class=\"ny nz oa nk nl ob oc be b bf z dw\" data-selectable-paragraph=\"\">Data Fabric \u2014 <a class=\"af pm\" href=\"https:\/\/www.montecarlodata.com\/blog-data-fabric-the-future-of-data-architecture\/\" target=\"_blank\" rel=\"noopener ugc nofollow\">Image Credit<\/a><\/figcaption>\n<\/figure>\n<p id=\"af84\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\">Data fabric initially needs data sources like any other known data management architecture. This data source may be related to the sales sector, the manufacturing industry, finance, health, and R&amp;D\u2026 Briefly, I am talking about a field-specific data source. The domain of the data.<\/p>\n<p id=\"eac8\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\">Regardless, the data fabric must be <strong class=\"be pd\">consistent<\/strong> for all its components. A consistent data source, consistent integration, consistent metadata\/catalog, consistent orchestration\u2026 This is <strong class=\"be pd\">the essence<\/strong> of the data fabric. Just as we call the \u201cfactory of the universe,\u201d the smallest consistent unit. This smallest unit is an atom for some and a smaller one for others. <strong class=\"be pd\">Data fabric<\/strong> for us: The smallest unit of <strong class=\"be pd\">globally consistent<\/strong> data management in itself is its <strong class=\"be pd\">essence<\/strong>.<\/p>\n<p id=\"c6fa\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\">This global consistency must be ensured for each data source separately. This is where the novelty of this approach comes from.<\/p>\n<p id=\"4e16\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\">Data fabric is a self-consistent approach in which the organization follows a central data management strategy that covers all sub-data sources and can benefit from tools and methods determined according to the needs of the data source. Data fabric needs metadata management maturity.<\/p>\n<blockquote class=\"pn\"><p id=\"80a7\" class=\"po pp fs be pq pr ps pt pu pv pw nj dw\" data-selectable-paragraph=\"\">With its data fabric approach, <a class=\"af pm\" href=\"https:\/\/diginomica.com\/data-fabrics-action-natwest-group-and-jaguar-land-rover-walk-walk\" target=\"_blank\" rel=\"noopener ugc nofollow\">Jaguar Land Rover<\/a> has made the interconnected view of supply and demand data efficient in solving critical business challenges.<\/p><\/blockquote>\n<p id=\"1bf7\" class=\"pw-post-body-paragraph mp mq fs be b gq px ms mt gt py mv mw mx pz mz na nb qa nd ne nf qb nh ni nj fl bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Advantages:<\/strong><\/p>\n<ul class=\"\">\n<li id=\"0ea4\" class=\"mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\">Consistency ensures trust in data governance.<\/li>\n<li id=\"ff06\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\">It facilitates and encourages data reuse.<\/li>\n<li id=\"7a25\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\">Thanks to this simplified approach, it reduces complexity, and fewer tools are needed.<\/li>\n<\/ul>\n<p id=\"e734\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Disadvantages:<\/strong><\/p>\n<ul class=\"\">\n<li id=\"64f2\" class=\"mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Lack of agility:<\/strong> It can challenge some teams where all team members have to adopt the whole process in the same way to ensure consistency.<\/li>\n<li id=\"0ab4\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Weak innovation:<\/strong> With a small number of tools specified, it may give different success for the entire data fabric, making it challenging to innovate.<\/li>\n<\/ul>\n<p id=\"6be6\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\">Treating data fabric as centralized data management across an organization may not be beneficial. So, let\u2019s examine what a new concept, <strong class=\"be pd\">data mesh<\/strong>, is.<\/p>\n<p id=\"bcbe\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\"><em class=\"pc\">Data mesh allows us to continue to benefit from advantages such as consistency while solving the disadvantages of the data fabric.<\/em><\/strong><\/p>\n<h1 id=\"df11\" class=\"od oe fs be of og oh gs oi oj ok gv ol om on oo op oq or os ot ou ov ow ox oy bj\" data-selectable-paragraph=\"\">What is Data Mesh?<\/h1>\n<blockquote class=\"oz pa pb\"><p id=\"70f4\" class=\"mp mq pc be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Data Mesh <\/strong>is a new data set that enables units or cross-functional teams to decentralize and manage their data domains while collaborating to maintain <strong class=\"be pd\">data quality and consistency<\/strong> across the organization \u2014 architecture and governance approach.<\/p><\/blockquote>\n<p id=\"ad35\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">We can call fabric texture or actual fabric. <\/strong>So think about your clothes!<\/p>\n<figure class=\"nn no np nq nr ns nk nl paragraph-image\">\n<div class=\"nt nu ee nv bg nw\" tabindex=\"0\" role=\"button\">\n<figure><img loading=\"lazy\" decoding=\"async\" class=\"bg lx nx c\" role=\"presentation\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/0*8GRB_MSJMXggOa1B.png\" alt=\"\" width=\"700\" height=\"346\"><\/figure><div class=\"nk nl qc\"><picture><source srcset=\"https:\/\/miro.medium.com\/v2\/resize:fit:640\/format:webp\/0*8GRB_MSJMXggOa1B.png 640w, https:\/\/miro.medium.com\/v2\/resize:fit:720\/format:webp\/0*8GRB_MSJMXggOa1B.png 720w, https:\/\/miro.medium.com\/v2\/resize:fit:750\/format:webp\/0*8GRB_MSJMXggOa1B.png 750w, https:\/\/miro.medium.com\/v2\/resize:fit:786\/format:webp\/0*8GRB_MSJMXggOa1B.png 786w, https:\/\/miro.medium.com\/v2\/resize:fit:828\/format:webp\/0*8GRB_MSJMXggOa1B.png 828w, https:\/\/miro.medium.com\/v2\/resize:fit:1100\/format:webp\/0*8GRB_MSJMXggOa1B.png 1100w, https:\/\/miro.medium.com\/v2\/resize:fit:1400\/format:webp\/0*8GRB_MSJMXggOa1B.png 1400w\" type=\"image\/webp\" sizes=\"(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px\"><source srcset=\"https:\/\/miro.medium.com\/v2\/resize:fit:640\/0*8GRB_MSJMXggOa1B.png 640w, https:\/\/miro.medium.com\/v2\/resize:fit:720\/0*8GRB_MSJMXggOa1B.png 720w, https:\/\/miro.medium.com\/v2\/resize:fit:750\/0*8GRB_MSJMXggOa1B.png 750w, https:\/\/miro.medium.com\/v2\/resize:fit:786\/0*8GRB_MSJMXggOa1B.png 786w, https:\/\/miro.medium.com\/v2\/resize:fit:828\/0*8GRB_MSJMXggOa1B.png 828w, https:\/\/miro.medium.com\/v2\/resize:fit:1100\/0*8GRB_MSJMXggOa1B.png 1100w, https:\/\/miro.medium.com\/v2\/resize:fit:1400\/0*8GRB_MSJMXggOa1B.png 1400w\" sizes=\"(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px\" data-testid=\"og\"><\/picture><\/div>\n<\/div>\n<figcaption class=\"ny nz oa nk nl ob oc be b bf z dw\" data-selectable-paragraph=\"\">Source: Decide on your future data management (Gartner) presentation<\/figcaption>\n<\/figure>\n<p id=\"0c53\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\">Yes, you are still reading an article about data governance. Are your clothes all made of the same fabric? No, they each have different fabrics, weaves, and textures. Even an outfit can have more than one fabric and weave. The harmony of textures and colors achieves its good looks, and as a whole, if you like it, invest in it and wear it. Depending on the season, different fabrics are better for you. We need one fabric for financial data, another for logistics data, a different fabric for automotive manufacturing data, and a different fabric for health data. We cannot spend an entire year in an outfit made of one type of fabric. It is from this approach that <strong class=\"be pd\">data mesh<\/strong> is born. If you connect your data fabric, which you developed with the tools you have separately planned for this sectoral data, with a network, you will make a patchwork of a piece of fabric. Sewing between fabrics, a mesh!<\/p>\n<p id=\"3428\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Data mesh <\/strong>changes the scope of the data fabric. It continues to provide consistency for each sectoral data fabric and says that if each patchwork fabric is consistent within itself, it will be harmonious and consistent in all our sewing.<\/p>\n<p id=\"68f9\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\">The math says it, too. In other words, we eliminate data fabric\u2019s agility and innovation deficiency with data mesh while going <strong class=\"be pd\">from local to proper global consistency<\/strong>. This approach is very similar to the microservice architecture in software. On the other hand, it is becoming the most effective way to ensure <strong class=\"be pd\">interoperability<\/strong>. In this case, the formation of data silos is prevented, and we provide the most efficient and fast use of decentralized, federated, and simultaneous interoperability with data mesh. How does it? Let\u2019s continue by understanding the four basic principles.<\/p>\n<blockquote class=\"oz pa pb\"><p id=\"edb8\" class=\"mp mq pc be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\">Data mesh as a concept was first introduced by <a class=\"af pm\" href=\"https:\/\/martinfowler.com\/articles\/data-mesh-principles.html\" target=\"_blank\" rel=\"noopener ugc nofollow\">Zhamak Dehghani<\/a> in 2019 and is shaped by <strong class=\"be pd\">four fundamental principles<\/strong>.<\/p><\/blockquote>\n<\/div>\n<\/div>\n\n\n\n<div class=\"ns\">\n<div class=\"ab ca\">\n<div class=\"ls qd lt qe lu qf ce qg cf qh ch bg\">\n<figure class=\"nn no np nq nr ns qj qk paragraph-image\">\n<div class=\"nt nu ee nv bg nw\" tabindex=\"0\" role=\"button\">\n<figure><img loading=\"lazy\" decoding=\"async\" class=\"bg lx nx c\" role=\"presentation\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:1000\/1*yCs6gfc_P1U4MpU1qNbqbA.png\" alt=\"\" width=\"1000\" height=\"551\"><\/figure><div class=\"nk nl qi\"><picture><source srcset=\"https:\/\/miro.medium.com\/v2\/resize:fit:640\/format:webp\/1*yCs6gfc_P1U4MpU1qNbqbA.png 640w, https:\/\/miro.medium.com\/v2\/resize:fit:720\/format:webp\/1*yCs6gfc_P1U4MpU1qNbqbA.png 720w, https:\/\/miro.medium.com\/v2\/resize:fit:750\/format:webp\/1*yCs6gfc_P1U4MpU1qNbqbA.png 750w, https:\/\/miro.medium.com\/v2\/resize:fit:786\/format:webp\/1*yCs6gfc_P1U4MpU1qNbqbA.png 786w, https:\/\/miro.medium.com\/v2\/resize:fit:828\/format:webp\/1*yCs6gfc_P1U4MpU1qNbqbA.png 828w, https:\/\/miro.medium.com\/v2\/resize:fit:1100\/format:webp\/1*yCs6gfc_P1U4MpU1qNbqbA.png 1100w, https:\/\/miro.medium.com\/v2\/resize:fit:2000\/format:webp\/1*yCs6gfc_P1U4MpU1qNbqbA.png 2000w\" type=\"image\/webp\" sizes=\"(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 1000px\"><source srcset=\"https:\/\/miro.medium.com\/v2\/resize:fit:640\/1*yCs6gfc_P1U4MpU1qNbqbA.png 640w, https:\/\/miro.medium.com\/v2\/resize:fit:720\/1*yCs6gfc_P1U4MpU1qNbqbA.png 720w, https:\/\/miro.medium.com\/v2\/resize:fit:750\/1*yCs6gfc_P1U4MpU1qNbqbA.png 750w, https:\/\/miro.medium.com\/v2\/resize:fit:786\/1*yCs6gfc_P1U4MpU1qNbqbA.png 786w, https:\/\/miro.medium.com\/v2\/resize:fit:828\/1*yCs6gfc_P1U4MpU1qNbqbA.png 828w, https:\/\/miro.medium.com\/v2\/resize:fit:1100\/1*yCs6gfc_P1U4MpU1qNbqbA.png 1100w, https:\/\/miro.medium.com\/v2\/resize:fit:2000\/1*yCs6gfc_P1U4MpU1qNbqbA.png 2000w\" sizes=\"(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 1000px\" data-testid=\"og\"><\/picture><\/div>\n<\/div>\n<figcaption class=\"ny nz oa nk nl ob oc be b bf z dw\" data-selectable-paragraph=\"\">Four Fundamental Principles of Data Mesh \u2014 <a class=\"af pm\" href=\"https:\/\/www.datamesh-architecture.com\/images\/datamesh.png.webp\" target=\"_blank\" rel=\"noopener ugc nofollow\">Image Credit<\/a><\/figcaption>\n<\/figure>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"ab ca\">\n<div class=\"ch bg ex ey ez fa\">\n<h2 id=\"995a\" class=\"ql oe fs be of qm qn qo oi qp qq qr ol mx qs qt qu nb qv qw qx nf qy qz ra rb bj\" data-selectable-paragraph=\"\">\ud83d\udd18 Domain Ownership<\/h2>\n<ul class=\"\">\n<li id=\"f7d9\" class=\"mp mq fs be b gq rc ms mt gt rd mv mw mx re mz na nb rf nd ne nf rg nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Autonomy:<\/strong> Each domain has sovereignty over its data, and the domain can make decisions about how the data is collected, stored, processed, and shared. These decisions should, of course, comply with the organization\u2019s general data mesh policies and guidelines.<\/li>\n<li id=\"abc0\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Accountability: <\/strong>Domain owners are responsible and accountable for the quality, security, and consistency of their data products.<\/li>\n<li id=\"1519\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Scalability: <\/strong>It should allow teams to quickly adapt to changing business needs.<\/li>\n<li id=\"63f4\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Integration: <\/strong>Domain owners need to work together to ensure that their data products integrate well with each other and meet the overall organizational strategy and needs.<\/li>\n<\/ul>\n<h2 id=\"f1fb\" class=\"ql oe fs be of qm qn qo oi qp qq qr ol mx qs qt qu nb qv qw qx nf qy qz ra rb bj\" data-selectable-paragraph=\"\">\ud83d\udd18 Data as a Product<\/h2>\n<ul class=\"\">\n<li id=\"9a41\" class=\"mp mq fs be b gq rc ms mt gt rd mv mw mx re mz na nb rf nd ne nf rg nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Value: <\/strong>Like software products, data is treated as a valuable asset developed, tested, and made available to users (other teams within the organization).<\/li>\n<li id=\"0546\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Ownership and Responsibility: <\/strong>Every data product has a dedicated team responsible for creating, maintaining, and making it available to its users.<\/li>\n<li id=\"2a48\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Self-Service: <\/strong>Data products should be designed to be easily discovered and consumed by users without needing significant support or intervention from the team that created them.<\/li>\n<li id=\"f901\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Quality and Consistency: <\/strong>Data products must be built using standardized data models, definitions, and requirements and rigorously tested to ensure quality, reliability, and interoperability.<\/li>\n<\/ul>\n<h2 id=\"8f93\" class=\"ql oe fs be of qm qn qo oi qp qq qr ol mx qs qt qu nb qv qw qx nf qy qz ra rb bj\" data-selectable-paragraph=\"\">\ud83d\udd18 Self-Service Data Platform<\/h2>\n<ul class=\"\">\n<li id=\"e0cb\" class=\"mp mq fs be b gq rc ms mt gt rd mv mw mx re mz na nb rf nd ne nf rg nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Data Product Catalogue: <\/strong>The self-service data platform should typically include a data product catalog listing all available data products produced by different teams in the organization.<\/li>\n<li id=\"f26b\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Data Access and Governance: <\/strong>Self-service data platforms must provide a way for teams to access and consume data products without needing a central data office.<\/li>\n<li id=\"1cc8\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Collaboration: <\/strong>Self-service data platforms should facilitate collaboration and knowledge sharing across different teams and domains.<\/li>\n<li id=\"8eaa\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Data Product Lifecycle Management: <\/strong>A self-service data platform should provide tools and processes to manage the lifecycle of data products, including versioning, deployment, and retirement.<\/li>\n<\/ul>\n<h2 id=\"36dd\" class=\"ql oe fs be of qm qn qo oi qp qq qr ol mx qs qt qu nb qv qw qx nf qy qz ra rb bj\" data-selectable-paragraph=\"\">\ud83d\udd18<strong class=\"al\"> Distributed \/ Federated Governance<\/strong><\/h2>\n<ul class=\"\">\n<li id=\"32cb\" class=\"mp mq fs be b gq rc ms mt gt rd mv mw mx re mz na nb rf nd ne nf rg nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Federated Governance: <\/strong>Federated Computational Governance should ensure that each team has the autonomy to make decisions about data within its domain while adhering to overall corporate governance policies.<\/li>\n<li id=\"16a3\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Distributed Trust: <\/strong>Data mesh should leverage distributed trust to ensure the integrity and accuracy of data.<\/li>\n<li id=\"2788\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Collaborative Decision-Making: <\/strong>Decision-making in the data mesh environment should be collaborative and consensus-based.<\/li>\n<li id=\"9a3c\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Continuous Improvement: <\/strong>Federated Computational Governance should support continuous improvement by providing a feedback loop for teams to learn from each other and adapt governance policies and procedures over time.<\/li>\n<\/ul>\n<p id=\"d517\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\">When we place the four basic principles and the elements of these principles into the data mesh architecture, we obtain a mechanism as follows. Data mesh needs governance maturity rather than metadata maturity. I plan to cover each component of the data mesh mechanism one by one in another article.<\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"ns\">\n<div class=\"ab ca\">\n<div class=\"ls qd lt qe lu qf ce qg cf qh ch bg\">\n<figure class=\"nn no np nq nr ns qj qk paragraph-image\">\n<div class=\"nt nu ee nv bg nw\" tabindex=\"0\" role=\"button\">\n<figure><img loading=\"lazy\" decoding=\"async\" class=\"bg lx nx c\" role=\"presentation\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:1000\/1*xlJFwZqh6G5Q40H-2EwNGw.png\" alt=\"\" width=\"1000\" height=\"641\"><\/figure><div class=\"nk nl rh\"><picture><source srcset=\"https:\/\/miro.medium.com\/v2\/resize:fit:640\/format:webp\/1*xlJFwZqh6G5Q40H-2EwNGw.png 640w, https:\/\/miro.medium.com\/v2\/resize:fit:720\/format:webp\/1*xlJFwZqh6G5Q40H-2EwNGw.png 720w, https:\/\/miro.medium.com\/v2\/resize:fit:750\/format:webp\/1*xlJFwZqh6G5Q40H-2EwNGw.png 750w, https:\/\/miro.medium.com\/v2\/resize:fit:786\/format:webp\/1*xlJFwZqh6G5Q40H-2EwNGw.png 786w, https:\/\/miro.medium.com\/v2\/resize:fit:828\/format:webp\/1*xlJFwZqh6G5Q40H-2EwNGw.png 828w, https:\/\/miro.medium.com\/v2\/resize:fit:1100\/format:webp\/1*xlJFwZqh6G5Q40H-2EwNGw.png 1100w, https:\/\/miro.medium.com\/v2\/resize:fit:2000\/format:webp\/1*xlJFwZqh6G5Q40H-2EwNGw.png 2000w\" type=\"image\/webp\" sizes=\"(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 1000px\"><source srcset=\"https:\/\/miro.medium.com\/v2\/resize:fit:640\/1*xlJFwZqh6G5Q40H-2EwNGw.png 640w, https:\/\/miro.medium.com\/v2\/resize:fit:720\/1*xlJFwZqh6G5Q40H-2EwNGw.png 720w, https:\/\/miro.medium.com\/v2\/resize:fit:750\/1*xlJFwZqh6G5Q40H-2EwNGw.png 750w, https:\/\/miro.medium.com\/v2\/resize:fit:786\/1*xlJFwZqh6G5Q40H-2EwNGw.png 786w, https:\/\/miro.medium.com\/v2\/resize:fit:828\/1*xlJFwZqh6G5Q40H-2EwNGw.png 828w, https:\/\/miro.medium.com\/v2\/resize:fit:1100\/1*xlJFwZqh6G5Q40H-2EwNGw.png 1100w, https:\/\/miro.medium.com\/v2\/resize:fit:2000\/1*xlJFwZqh6G5Q40H-2EwNGw.png 2000w\" sizes=\"(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 1000px\" data-testid=\"og\"><\/picture><\/div>\n<\/div>\n<figcaption class=\"ny nz oa nk nl ob oc be b bf z dw\" data-selectable-paragraph=\"\">Data Mesh Architecture \u2014 <a class=\"af pm\" href=\"https:\/\/www.datamesh-architecture.com\/images\/datamesharchitecture.png.webp\" target=\"_blank\" rel=\"noopener ugc nofollow\">Image Credit<\/a><\/figcaption>\n<\/figure>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"ab ca\">\n<div class=\"ch bg ex ey ez fa\">\n<h2 id=\"104b\" class=\"ql oe fs be of qm qn qo oi qp qq qr ol mx qs qt qu nb qv qw qx nf qy qz ra rb bj\" data-selectable-paragraph=\"\">What Challenges Does Data Mesh Solve and How?<\/h2>\n<figure class=\"nn no np nq nr ns nk nl paragraph-image\">\n<div class=\"nt nu ee nv bg nw\" tabindex=\"0\" role=\"button\">\n<figure><img loading=\"lazy\" decoding=\"async\" class=\"bg lx nx c\" role=\"presentation\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/1*bBgP52RiHFZZuIRZqfwccg.png\" alt=\"\" width=\"700\" height=\"422\"><\/figure><div class=\"nk nl ri\"><picture><source srcset=\"https:\/\/miro.medium.com\/v2\/resize:fit:640\/format:webp\/1*bBgP52RiHFZZuIRZqfwccg.png 640w, https:\/\/miro.medium.com\/v2\/resize:fit:720\/format:webp\/1*bBgP52RiHFZZuIRZqfwccg.png 720w, https:\/\/miro.medium.com\/v2\/resize:fit:750\/format:webp\/1*bBgP52RiHFZZuIRZqfwccg.png 750w, https:\/\/miro.medium.com\/v2\/resize:fit:786\/format:webp\/1*bBgP52RiHFZZuIRZqfwccg.png 786w, https:\/\/miro.medium.com\/v2\/resize:fit:828\/format:webp\/1*bBgP52RiHFZZuIRZqfwccg.png 828w, https:\/\/miro.medium.com\/v2\/resize:fit:1100\/format:webp\/1*bBgP52RiHFZZuIRZqfwccg.png 1100w, https:\/\/miro.medium.com\/v2\/resize:fit:1400\/format:webp\/1*bBgP52RiHFZZuIRZqfwccg.png 1400w\" type=\"image\/webp\" sizes=\"(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px\"><source srcset=\"https:\/\/miro.medium.com\/v2\/resize:fit:640\/1*bBgP52RiHFZZuIRZqfwccg.png 640w, https:\/\/miro.medium.com\/v2\/resize:fit:720\/1*bBgP52RiHFZZuIRZqfwccg.png 720w, https:\/\/miro.medium.com\/v2\/resize:fit:750\/1*bBgP52RiHFZZuIRZqfwccg.png 750w, https:\/\/miro.medium.com\/v2\/resize:fit:786\/1*bBgP52RiHFZZuIRZqfwccg.png 786w, https:\/\/miro.medium.com\/v2\/resize:fit:828\/1*bBgP52RiHFZZuIRZqfwccg.png 828w, https:\/\/miro.medium.com\/v2\/resize:fit:1100\/1*bBgP52RiHFZZuIRZqfwccg.png 1100w, https:\/\/miro.medium.com\/v2\/resize:fit:1400\/1*bBgP52RiHFZZuIRZqfwccg.png 1400w\" sizes=\"(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px\" data-testid=\"og\"><\/picture><\/div>\n<\/div>\n<figcaption class=\"ny nz oa nk nl ob oc be b bf z dw\" data-selectable-paragraph=\"\">Image by Author: Challenges &amp; Solutions of the Data Mesh<\/figcaption>\n<\/figure>\n<h2 id=\"b7cb\" class=\"ql oe fs be of qm qn qo oi qp qq qr ol mx qs qt qu nb qv qw qx nf qy qz ra rb bj\" data-selectable-paragraph=\"\">Limits of Data Mesh<\/h2>\n<ul class=\"\">\n<li id=\"13dc\" class=\"mp mq fs be b gq rc ms mt gt rd mv mw mx re mz na nb rf nd ne nf rg nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Complexity:<\/strong> Data Mesh adds complexity to the data infrastructure if the desired organization needs to be more significant. It can be beneficial if it is a large organization where different data types and domains are managed.<\/li>\n<\/ul>\n<blockquote class=\"pn\"><p id=\"aab5\" class=\"po pp fs be pq pr rj rk rl rm rn nj dw\" data-selectable-paragraph=\"\"><a class=\"af pm\" href=\"https:\/\/netflixtechblog.com\/data-mesh-a-data-movement-and-processing-platform-netflix-1288bcab2873\" target=\"_blank\" rel=\"noopener ugc nofollow\">Netflix<\/a>, <a class=\"af pm\" href=\"https:\/\/thenewstack.io\/how-do-you-weave-a-data-fabric\/\" target=\"_blank\" rel=\"noopener ugc nofollow\">Dominos<\/a>, <a class=\"af pm\" href=\"https:\/\/eapj.org\/wp-content\/uploads\/2020\/11\/Big-Data-Fabric-Architecture.pdf\" target=\"_blank\" rel=\"noopener ugc nofollow\">Ducati<\/a>, and <a class=\"af pm\" href=\"https:\/\/www.jpmorgan.com\/technology\/technology-blog\/evolution-of-data-mesh-architecture\" target=\"_blank\" rel=\"noopener ugc nofollow\">J.P. Morgan<\/a> can be examined as an example of organizations that implement data mesh.<\/p><\/blockquote>\n<ul class=\"\">\n<li id=\"445f\" class=\"mp mq fs be b gq px ms mt gt py mv mw mx pz mz na nb qa nd ne nf qb nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Tools: <\/strong>Data Mesh encourages data sharing and collaboration between teams. Teams can use their own data systems but must adopt the mindset of sharing information, for example, using APIs.<\/li>\n<li id=\"29bb\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Governance:<\/strong> It presents a challenge as each domain team is responsible for the quality and consistency of their data.<\/li>\n<li id=\"5ff1\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Cultural Change: <\/strong>For a successful data mesh implementation, teams must make a significant cultural shift in how data is owned and shared.<\/li>\n<li id=\"0c41\" class=\"mp mq fs be b gq ph ms mt gt pi mv mw mx pj mz na nb pk nd ne nf pl nh ni nj pe pf pg bj\" data-selectable-paragraph=\"\"><strong class=\"be pd\">Capability: <\/strong>Data Mesh creates the need for technical expertise in all organizational domains, which increases the demand for competent personnel.<\/li>\n<\/ul>\n<p id=\"0b94\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\">I had the chance to attend the <strong class=\"be pd\">\u201c<\/strong><a class=\"af pm\" href=\"https:\/\/www.gartner.com\/en\/conferences\/emea\/data-analytics-uk\" target=\"_blank\" rel=\"noopener ugc nofollow\"><strong class=\"be pd\">Data and Analytics Summit<\/strong><\/a><strong class=\"be pd\">\u201d<\/strong> organized by <a class=\"af pm\" href=\"https:\/\/www.gartner.com\/en\" target=\"_blank\" rel=\"noopener ugc nofollow\"><strong class=\"be pd\">Gartner<\/strong><\/a> on May 22\u201324, 2023. One hundred twenty (120) sessions were held at this event, run only by Gartner experts.<\/p>\n<figure class=\"nn no np nq nr ns\">\n<div class=\"ro iv l ee\">\n<div class=\"ahz rq l\"><iframe loading=\"lazy\" class=\"eo n fg dy bg\" title=\"Ayy\u00fcce K\u0131zrak, Ph.D. on Twitter: &quot;Data is addictive! Once you've experienced it, you'll constantly crave for more. And I say that in a positive way.\ud83e\udd29Excited to be at the @Gartner_inc Data Analytics Summit in London, which started today and will run with its intensive and productive program until Wednesday. I'm... pic.twitter.com\/QnPTigYRZt \/ Twitter&quot;\" src=\"https:\/\/cdn.embedly.com\/widgets\/media.html?type=text%2Fhtml&amp;key=a19fcc184b9711e1b4764040d3dc5c07&amp;schema=twitter&amp;url=https%3A\/\/twitter.com\/ayyucekizrak\/status\/1660708766382190592%3Fs%3D20&amp;image=https%3A\/\/i.embed.ly\/1\/image%3Furl%3Dhttps%253A%252F%252Fabs.twimg.com%252Ferrors%252Flogo46x38.png%26key%3Da19fcc184b9711e1b4764040d3dc5c07\" width=\"680\" height=\"669\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"allowfullscreen\" data-mce-fragment=\"1\"><\/iframe><\/div>\n<\/div>\n<\/figure>\n<p id=\"80aa\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\">This summit consisted of conferences, workshops, roundtable events, ask-an-expert sessions, one-on-one meetings, bake-off meetings, and fair sections in general. I had the opportunity to follow all sessions related to Data Fabric and Data Mesh in a hectic schedule. Here, I am sharing some information I have gained on the subject. Let\u2019s start with Gartner\u2019s famous <strong class=\"be pd\">HypeCycle<\/strong>. Data mesh is just beginning to become hype, and data fabric is a little closer to the plateau. The required maturity for both has been cut to 5\u201310 years.<\/p>\n<figure class=\"nn no np nq nr ns nk nl paragraph-image\">\n<div class=\"nt nu ee nv bg nw\" tabindex=\"0\" role=\"button\">\n<figure><img loading=\"lazy\" decoding=\"async\" class=\"bg lx nx c\" role=\"presentation\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/0*DPXCcRh05H6TsjaE.png\" alt=\"\" width=\"700\" height=\"362\"><\/figure><div class=\"nk nl rr\"><picture><source srcset=\"https:\/\/miro.medium.com\/v2\/resize:fit:640\/format:webp\/0*DPXCcRh05H6TsjaE.png 640w, https:\/\/miro.medium.com\/v2\/resize:fit:720\/format:webp\/0*DPXCcRh05H6TsjaE.png 720w, https:\/\/miro.medium.com\/v2\/resize:fit:750\/format:webp\/0*DPXCcRh05H6TsjaE.png 750w, https:\/\/miro.medium.com\/v2\/resize:fit:786\/format:webp\/0*DPXCcRh05H6TsjaE.png 786w, https:\/\/miro.medium.com\/v2\/resize:fit:828\/format:webp\/0*DPXCcRh05H6TsjaE.png 828w, https:\/\/miro.medium.com\/v2\/resize:fit:1100\/format:webp\/0*DPXCcRh05H6TsjaE.png 1100w, https:\/\/miro.medium.com\/v2\/resize:fit:1400\/format:webp\/0*DPXCcRh05H6TsjaE.png 1400w\" type=\"image\/webp\" sizes=\"(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px\"><source srcset=\"https:\/\/miro.medium.com\/v2\/resize:fit:640\/0*DPXCcRh05H6TsjaE.png 640w, https:\/\/miro.medium.com\/v2\/resize:fit:720\/0*DPXCcRh05H6TsjaE.png 720w, https:\/\/miro.medium.com\/v2\/resize:fit:750\/0*DPXCcRh05H6TsjaE.png 750w, https:\/\/miro.medium.com\/v2\/resize:fit:786\/0*DPXCcRh05H6TsjaE.png 786w, https:\/\/miro.medium.com\/v2\/resize:fit:828\/0*DPXCcRh05H6TsjaE.png 828w, https:\/\/miro.medium.com\/v2\/resize:fit:1100\/0*DPXCcRh05H6TsjaE.png 1100w, https:\/\/miro.medium.com\/v2\/resize:fit:1400\/0*DPXCcRh05H6TsjaE.png 1400w\" sizes=\"(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px\" data-testid=\"og\"><\/picture><\/div>\n<\/div>\n<figcaption class=\"ny nz oa nk nl ob oc be b bf z dw\" data-selectable-paragraph=\"\">Gartner \u2014 <a class=\"af pm\" href=\"https:\/\/www.gartner.com\/doc\/4573399\" target=\"_blank\" rel=\"noopener ugc nofollow\">Hype Cycle for Data Management, 2022\u20132023<\/a><\/figcaption>\n<\/figure>\n<h2 id=\"3835\" class=\"ql oe fs be of qm qn qo oi qp qq qr ol mx qs qt qu nb qv qw qx nf qy qz ra rb bj\" data-selectable-paragraph=\"\">Which Data Management Architecture Should You Choose?<\/h2>\n<p id=\"27ce\" class=\"pw-post-body-paragraph mp mq fs be b gq rc ms mt gt rd mv mw mx re mz na nb rf nd ne nf rg nh ni nj fl bj\" data-selectable-paragraph=\"\">On the other hand, Gartner experts present a weighting matrix based on their research on which approach you should choose for your organization. If you are hearing these concepts for the first time, you do not need to be afraid; as you can see, the rate of organizations that can implement this is relatively low. The Enterprise Maturity indicator is based on more than 1,400 Gartner customer interactions in 2022. Your organization\u2019s preparation level: Upgrading in the context of metadata and governance maturity will make a significant contribution.<\/p>\n<figure class=\"nn no np nq nr ns nk nl paragraph-image\">\n<div class=\"nt nu ee nv bg nw\" tabindex=\"0\" role=\"button\">\n<figure><img loading=\"lazy\" decoding=\"async\" class=\"bg lx nx c\" role=\"presentation\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/1*Hj4GBQPSACFxN1aTrRHubA.png\" alt=\"\" width=\"700\" height=\"271\"><\/figure><div class=\"nk nl rs\"><picture><source srcset=\"https:\/\/miro.medium.com\/v2\/resize:fit:640\/format:webp\/1*Hj4GBQPSACFxN1aTrRHubA.png 640w, https:\/\/miro.medium.com\/v2\/resize:fit:720\/format:webp\/1*Hj4GBQPSACFxN1aTrRHubA.png 720w, https:\/\/miro.medium.com\/v2\/resize:fit:750\/format:webp\/1*Hj4GBQPSACFxN1aTrRHubA.png 750w, https:\/\/miro.medium.com\/v2\/resize:fit:786\/format:webp\/1*Hj4GBQPSACFxN1aTrRHubA.png 786w, https:\/\/miro.medium.com\/v2\/resize:fit:828\/format:webp\/1*Hj4GBQPSACFxN1aTrRHubA.png 828w, https:\/\/miro.medium.com\/v2\/resize:fit:1100\/format:webp\/1*Hj4GBQPSACFxN1aTrRHubA.png 1100w, https:\/\/miro.medium.com\/v2\/resize:fit:1400\/format:webp\/1*Hj4GBQPSACFxN1aTrRHubA.png 1400w\" type=\"image\/webp\" sizes=\"(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px\"><source srcset=\"https:\/\/miro.medium.com\/v2\/resize:fit:640\/1*Hj4GBQPSACFxN1aTrRHubA.png 640w, https:\/\/miro.medium.com\/v2\/resize:fit:720\/1*Hj4GBQPSACFxN1aTrRHubA.png 720w, https:\/\/miro.medium.com\/v2\/resize:fit:750\/1*Hj4GBQPSACFxN1aTrRHubA.png 750w, https:\/\/miro.medium.com\/v2\/resize:fit:786\/1*Hj4GBQPSACFxN1aTrRHubA.png 786w, https:\/\/miro.medium.com\/v2\/resize:fit:828\/1*Hj4GBQPSACFxN1aTrRHubA.png 828w, https:\/\/miro.medium.com\/v2\/resize:fit:1100\/1*Hj4GBQPSACFxN1aTrRHubA.png 1100w, https:\/\/miro.medium.com\/v2\/resize:fit:1400\/1*Hj4GBQPSACFxN1aTrRHubA.png 1400w\" sizes=\"(min-resolution: 4dppx) and (max-width: 700px) 50vw, (-webkit-min-device-pixel-ratio: 4) and (max-width: 700px) 50vw, (min-resolution: 3dppx) and (max-width: 700px) 67vw, (-webkit-min-device-pixel-ratio: 3) and (max-width: 700px) 65vw, (min-resolution: 2.5dppx) and (max-width: 700px) 80vw, (-webkit-min-device-pixel-ratio: 2.5) and (max-width: 700px) 80vw, (min-resolution: 2dppx) and (max-width: 700px) 100vw, (-webkit-min-device-pixel-ratio: 2) and (max-width: 700px) 100vw, 700px\" data-testid=\"og\"><\/picture><\/div>\n<\/div>\n<figcaption class=\"ny nz oa nk nl ob oc be b bf z dw\" data-selectable-paragraph=\"\">Gartner \u2014 <a class=\"af pm\" href=\"https:\/\/www.gartner.com\/doc\/4015368\" target=\"_blank\" rel=\"noopener ugc nofollow\">Data Fabric or Data Mesh: How to Decide Your Future Data Management Architecture<\/a><\/figcaption>\n<\/figure>\n<h1 id=\"5109\" class=\"od oe fs be of og oh gs oi oj ok gv ol om on oo op oq or os ot ou ov ow ox oy bj\" data-selectable-paragraph=\"\">Conclusion<\/h1>\n<p id=\"8e8c\" class=\"pw-post-body-paragraph mp mq fs be b gq rc ms mt gt rd mv mw mx re mz na nb rf nd ne nf rg nh ni nj fl bj\" data-selectable-paragraph=\"\">In conclusion, <strong class=\"be pd\">data mesh<\/strong> and <strong class=\"be pd\">data fabric<\/strong> offer different advantages and disadvantages, and choosing the right approach for your organization depends on several factors, such as organizational structure and culture, technical maturity, and data governance and security requirements.<\/p>\n<p id=\"0c4d\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\">While the <strong class=\"be pd\">data mesh<\/strong> approach emphasizes decentralized data ownership and management, <strong class=\"be pd\">data fabric<\/strong> advocates a centralized data platform to ensure data quality, consistency, and security.<\/p>\n<p id=\"db65\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\">It may be advisable to conduct pilot projects to assess suitability to select the best approach.<\/p>\n<p id=\"2d5e\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\">Ultimately, the best approach will align with your organization\u2019s goals, resources, and strategic direction and provide users with relevant data and insights to make data-driven decisions. In addition, it should give flexibility to use advanced analytical and artificial intelligence approaches.<\/p>\n<p id=\"3d41\" class=\"pw-post-body-paragraph mp mq fs be b gq mr ms mt gt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj fl bj\" data-selectable-paragraph=\"\">So, with what tools can we apply these governance approaches? Keep following my future content.<\/p>\n<p data-selectable-paragraph=\"\"><strong class=\"be pd\"><em class=\"pc\">Feel free to follow me on <\/em><\/strong><a class=\"af pm\" href=\"https:\/\/github.com\/ayyucekizrak\" target=\"_blank\" rel=\"noopener ugc nofollow\"><strong class=\"be pd\"><em class=\"pc\">GitHub<\/em><\/strong><\/a><strong class=\"be pd\"><em class=\"pc\"> and <\/em><\/strong><a class=\"af pm\" href=\"https:\/\/twitter.com\/ayyucekizrak\" target=\"_blank\" rel=\"noopener ugc nofollow\"><strong class=\"be pd\"><em class=\"pc\">Twitter<\/em><\/strong><\/a><strong class=\"be pd\"><em class=\"pc\"> accounts for more content!<\/em><\/strong><\/p>\n<p id=\"fb7f\" class=\"ql oe fs be of qm qn qo oi qp qq qr ol mx qs qt qu nb qv qw qx nf qy qz ra rb bj\">Check out some other blog posts:<\/p>\n<ul>\n<li class=\"ql oe fs be of qm qn qo oi qp qq qr ol mx qs qt qu nb qv qw qx nf qy qz ra rb bj\"><a href=\"https:\/\/www.comet.com\/site\/blog\/human-in-the-loop-machine-learning\/\">Human-in-the-Loop Machine Learning<\/a><\/li>\n<li class=\"ql oe fs be of qm qn qo oi qp qq qr ol mx qs qt qu nb qv qw qx nf qy qz ra rb bj\"><a href=\"https:\/\/www.comet.com\/site\/blog\/deep-learning-for-image-segmentation-u-net-architecture\/\">Deep Learning for Image Segmentation: U-Net Architecture<\/a><\/li>\n<li class=\"ql oe fs be of qm qn qo oi qp qq qr ol mx qs qt qu nb qv qw qx nf qy qz ra rb bj\"><a href=\"https:\/\/www.comet.com\/site\/blog\/unlocking-the-potential-of-llms-from-mlops-to-llmops\/\">Unlocking the Potential of LLMs: From MLOps to LLMOps<\/a><\/li>\n<li class=\"ql oe fs be of qm qn qo oi qp qq qr ol mx qs qt qu nb qv qw qx nf qy qz ra rb bj\"><a href=\"https:\/\/www.comet.com\/site\/blog\/comparison-of-nvidia-a100-h100-and-h200-gpus\/\">Comparison of NVIDIA A100, H100 + H200 GPUs<\/a><\/li>\n<\/ul>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>I decided to write a series of blogs on current topics: the elements of data governance that I have been thinking about, reading, and following for a while. Even though the titles are new, the ideas are not really new. They are formed by taking advantage of different sciences and mainly consist of new usage [&hellip;]<\/p>\n","protected":false},"author":38,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"customer_name":"","customer_description":"","customer_industry":"","customer_technologies":"","customer_logo":"","footnotes":""},"categories":[6],"tags":[],"coauthors":[115],"class_list":["post-8414","post","type-post","status-publish","format-standard","hentry","category-machine-learning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data Fabric &amp; Data Mesh - Comet<\/title>\n<meta name=\"description\" content=\"Data fabric and data mesh offer different advantages and disadvantages, and choosing the right approach depends on several factors.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.comet.com\/site\/blog\/data-fabric-data-mesh-two-approaches-one-data-driven-destiny\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Fabric &amp; Data Mesh: Two Approaches, One Data-Driven Destiny\" \/>\n<meta property=\"og:description\" content=\"Data fabric and data mesh offer different advantages and disadvantages, and choosing the right approach depends on several factors.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.comet.com\/site\/blog\/data-fabric-data-mesh-two-approaches-one-data-driven-destiny\" \/>\n<meta property=\"og:site_name\" content=\"Comet\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/cometdotml\" \/>\n<meta property=\"article:published_time\" content=\"2023-12-11T20:17:29+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-04-24T17:03:56+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/0*zQ5d0ygQYmyQGJQ8.jpeg\" \/>\n<meta name=\"author\" content=\"Ayyuce Kizrak\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@Cometml\" \/>\n<meta name=\"twitter:site\" content=\"@Cometml\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ayyuce Kizrak\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"11 minutes\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Data Fabric & Data Mesh - Comet","description":"Data fabric and data mesh offer different advantages and disadvantages, and choosing the right approach depends on several factors.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.comet.com\/site\/blog\/data-fabric-data-mesh-two-approaches-one-data-driven-destiny","og_locale":"en_US","og_type":"article","og_title":"Data Fabric & Data Mesh: Two Approaches, One Data-Driven Destiny","og_description":"Data fabric and data mesh offer different advantages and disadvantages, and choosing the right approach depends on several factors.","og_url":"https:\/\/www.comet.com\/site\/blog\/data-fabric-data-mesh-two-approaches-one-data-driven-destiny","og_site_name":"Comet","article_publisher":"https:\/\/www.facebook.com\/cometdotml","article_published_time":"2023-12-11T20:17:29+00:00","article_modified_time":"2025-04-24T17:03:56+00:00","og_image":[{"url":"https:\/\/miro.medium.com\/v2\/resize:fit:700\/0*zQ5d0ygQYmyQGJQ8.jpeg","type":"","width":"","height":""}],"author":"Ayyuce Kizrak","twitter_card":"summary_large_image","twitter_creator":"@Cometml","twitter_site":"@Cometml","twitter_misc":{"Written by":"Ayyuce Kizrak","Est. reading time":"11 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.comet.com\/site\/blog\/data-fabric-data-mesh-two-approaches-one-data-driven-destiny#article","isPartOf":{"@id":"https:\/\/www.comet.com\/site\/blog\/data-fabric-data-mesh-two-approaches-one-data-driven-destiny\/"},"author":{"name":"Ayyuce Kizrak","@id":"https:\/\/www.comet.com\/site\/#\/schema\/person\/06ea8c9cc060b86368361ec497fae86d"},"headline":"Data Fabric &#038; 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