The FAIR data movement and data protection

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Presented by

Alan Morison, Advanced Data Technologies Consultant and Writer

About this talk

Tired of data sprawl, not knowing where your company's data is, or how to reduce data mismanagement risk? You may not know it, but encouraging your leadership to focus on FAIR (findable, accessible, interoperable and reusable) data can provide a push so that the company finally gets its arms around the data problem. How so? To realize the promise of FAIR data, companies must be data mature. They must adopt data-centric architecture and the FAIR reusability principles. When they do, the data they need will be linked and self-describing. The data when queried will tell you where it is. A desiloed, semantic graph data abstraction--the only feasible means behind creating FAIR data at this point--is not only the means to data discovery, but also a path to model-driven development and data sharing at scale, both of which will break an organization's habit of duplicating data and logic. This talk will highlight fresh enterprise case studies that are starting to realize the dream of FAIR data, as well as how these companies are succeeding: - Zero copy integration: How to think about eliminating data duplication and stop the application buying binge that only exacerbates the problem. - Dynamic, unified data model: Standard graphs provide a means of modeling once, use anywhere, for conceptual, logical and physical purposes all at once. - Persuasion and teamwork: The graph approach provides an ideal way to loop business units and domain experts in and empower them to recommend model changes that are easily implemented. The whole process is bringing enterprises like Walmart, Uber, Goldman Sachs and Nokia into the age of contextual computing. Learn how to be a fast follower by thinking big, but starting small..
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