{"product_id":"designing-and-implementing-semantic-data-layers-paperback","title":"Designing and Implementing Semantic Data Layers - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eDave Wells\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eData has a meaning problem. Semantic data layers solve it. \u003c\/strong\u003eSemantics, applied to data, is the discipline of making meaning explicit, consistent, and durable. Semantic data layers are the architectural expression of that discipline. This book shows you how to build them.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eData management has always been messy. Inconsistent metrics, brittle integrations, data silos, and confusing dashboards persist even after heavy investment in data lakes, warehouses, pipelines, BI tools, metadata catalogs, and modern platforms. At the core, these are not technology problems; they're problems of meaning. More infrastructure doesn't fix a meaning problem. It expands it. AI workloads add new urgency: systems that act autonomously on data they don't fully understand compound the cost of every inconsistency.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eSemantic data layers turn scattered data definitions into shared, stable, reusable business meaning that is independent of the physical structures that hold the data. The result is strong data interoperability, reliable analytics, improved self-service access, reduced technical debt, and a practical foundation for trustworthy AI.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBuilding semantic layers well requires three things in the right order. First, architecture: understanding the five types of semantic layers (enterprise, domain, integration, enrichment, and consumption) and where each belongs in your data management world. Next comes design: ontology, taxonomy, semantic models, knowledge graphs, and property graphs. This is the conceptual work that captures how your business actually understands its data. Semantic models that business people can read and validate are more durable than technically precise models that only engineers can interpret. Then comes implementation: building semantic layers as software through APIs, data products, data contracts, data virtualization, and schema registries. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eArchitecture first, next design, and then implementation. This book covers all three. Written for data architects, data engineers, data leaders, data governance professionals, analytics teams, and the emerging Semantic Layer Engineer, it is a practical guide to reducing data friction, improving data quality, increasing reuse, and enabling self-service analytics across a complex enterprise.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhen data has shared meaning, systems connect more easily, people trust the answers, and AI has the context it needs to reason responsibly.\u003c\/strong\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 132\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.28 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 17, 2026\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":54050796798259,"sku":"9798898161620","price":53.03,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/8zEiy4M1QL9798898161620.webp?v=1788987465","url":"https:\/\/www.vysn.com\/en-ca\/products\/designing-and-implementing-semantic-data-layers-paperback","provider":"VYSN","version":"1.0","type":"link"}